ViewsDeployed model views

Results

Retrieve prediction outputs and the raw explanation data behind them.
View as Markdown

The Results view is the primary deployed model view for querying predictions and retrieving the raw explanation data behind them.

Use it when you need the predicted output together with the raw dataframes that support prediction-level explanations, including feature attributions, module attributions, partition activations, and partition attributions.

When to use

Use caseDescription
Run inferenceRetrieve the predicted output for one or more query rows.
Inspect raw explanation dataGet the underlying attribution and activation data used by other explanation views.
Debug a predictionCompare the query input, prediction, total attribution, and attribution breakdowns in one response.
Build custom visualisationsUse the returned dataframes directly in tables, charts, or downstream analysis.

Generate the view

Generate the Results view from a deployed model.

POST
/deployed-models/:deployedModelId/views
1curl -X POST https://api.hi.umnai.com/deployed-models/deployedModelId/views \
2     -H "Authorization: Bearer <token>" \
3     -H "Content-Type: application/json" \
4     -d '{
5  "data": [
6    {
7      "view_type": "DECISION_ACTION_TABLE"
8    }
9  ],
10  "query": {
11    "age": [
12      58
13    ],
14    "workclass": [
15      "?"
16    ],
17    "fnlwgt": [
18      299831
19    ],
20    "education": [
21      "HS-grad"
22    ],
23    "educational_45_num": [
24      9
25    ],
26    "marital_45_status": [
27      "Married-civ-spouse"
28    ],
29    "occupation": [
30      "?"
31    ],
32    "relationship": [
33      "Husband"
34    ],
35    "race": [
36      "White"
37    ],
38    "gender": [
39      "Male"
40    ],
41    "capital_45_gain": [
42      0
43    ],
44    "capital_45_loss": [
45      0
46    ],
47    "hours_45_per_45_week": [
48      35
49    ],
50    "native_45_country": [
51      "United-States"
52    ]
53  },
54  "targets": {
55    "income": [
56      0
57    ]
58  }
59}'
Response
1{
2  "data": [
3    {
4      "view_type": "DECISION_ACTION_TABLE",
5      "justification_data": {
6        "columns": [
7          "decomposition_index",
8          "module_id",
9          "module_index",
10          "module_name",
11          "module_features",
12          "dataset_id",
13          "rule_id",
14          "module_partition_index",
15          "global_partition_index",
16          "condition_expr_string",
17          "decomposed_then_expr_string",
18          "decomposed_then_expr_object",
19          "then_expr_string",
20          "condition_expr_object",
21          "then_expr_object",
22          "bin_id",
23          "condition_expr_friendly",
24          "condition_expr_json",
25          "output_target_index",
26          "output_target_name",
27          "input_feature",
28          "low",
29          "high",
30          "low_inclusive",
31          "high_inclusive",
32          "is_categorical",
33          "category_value",
34          "bin_description",
35          "n_module_features",
36          "module_feature_index",
37          "feature_participation",
38          "decomposition_id",
39          "feature_bin_index",
40          "created_time",
41          "model_id",
42          "attribution",
43          "activations",
44          "attribution_bin_def",
45          "activation_bin_def"
46        ],
47        "index": [
48          0,
49          1,
50          2,
51          3,
52          4,
53          17,
54          24,
55          28,
56          73,
57          77,
58          97,
59          99,
60          106,
61          116,
62          132,
63          150,
64          158,
65          166,
66          172,
67          187,
68          189,
69          195,
70          197
71        ],
72        "data": [
73          [
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76            0,
77            "age",
78            [
79              "age"
80            ],
81            "daf6694d509448c9bedd8b624a08999f",
82            "e804efc3348447eba13203caa4a2f19f",
83            0,
84            0,
85            "*",
86            "-0.000240974633091497*age**2 + 0.0246351995187603*age - 0.55342205229555",
87            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"236b4453dfa75\", -50, 50]], \"precision\": 53}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"c9cfc2086eadd\", -57, 52]], \"precision\": 53}, {\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"age\"], \"id\": \"16472cacc1c8486e9a87cc17f5e55071\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"1f95c4562a9365\", -65, 53]], \"precision\": 53}, {\"type_ref\": \"sympy.core.power.Pow\", \"*args\": [{\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"age\"], \"id\": \"16472cacc1c8486e9a87cc17f5e55071\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}, {\"type_ref\": \"sympy.core.numbers.Integer\", \"*args\": [2]}]}]}]}",
88            "-0.000240974633091497*age**2 + 0.0246351995187603*age - 0.55342205229555",
89            "null",
90            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"236b4453dfa75\", -50, 50]], \"precision\": 53}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"c9cfc2086eadd\", -57, 52]], \"precision\": 53}, {\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"age\"], \"id\": \"16472cacc1c8486e9a87cc17f5e55071\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}]}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"1f95c4562a9365\", -65, 53]], \"precision\": 53}, {\"type_ref\": \"sympy.core.power.Pow\", \"*args\": [{\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"age\"], \"id\": \"16472cacc1c8486e9a87cc17f5e55071\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}, {\"type_ref\": \"sympy.core.numbers.Integer\", \"*args\": [2]}]}]}]}",
91            "76770c83d8d7401d840704780725b473",
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96            "age",
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98            "INFINITY",
99            "False",
100            "False",
101            false,
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103            "age[>-inf, <inf]",
104            1,
105            0,
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111            0.0647808541,
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114            "['age', ['GT', -inf, 'LT', inf], 'activations']"
115          ],
116          [
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118            "2bcb9dc8-adult_income-root_ae51ef149e564e44aea29d4289015533_a950d2fb53649d40188a531b5d352d99f5939e28b97fc02fe43a42802995dc10",
119            1,
120            "educational_45_num",
121            [
122              "educational_45_num"
123            ],
124            "daf6694d509448c9bedd8b624a08999f",
125            "b90b1a8be22a4073aa294312092948cb",
126            0,
127            1,
128            "*",
129            "0.00694509910782743*educational_45_num**2 - 0.0632974546591061*educational_45_num - 0.124711173440167",
130            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"1fed124b5f0da7\", -56, 53]], \"precision\": 53}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"71c9db62473b3\", -58, 51]], \"precision\": 53}, {\"type_ref\": \"sympy.core.power.Pow\", \"*args\": [{\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"educational_45_num\"], \"id\": \"b6bcfa3897c74f2693d3b5d91e32e926\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}, {\"type_ref\": \"sympy.core.numbers.Integer\", \"*args\": [2]}]}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"10344311ae4fb\", -52, 49]], \"precision\": 53}, {\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"educational_45_num\"], \"id\": \"b6bcfa3897c74f2693d3b5d91e32e926\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}]}]}",
131            "0.00694509910782743*educational_45_num**2 - 0.0632974546591061*educational_45_num - 0.124711173440167",
132            "null",
133            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"1fed124b5f0da7\", -56, 53]], \"precision\": 53}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"10344311ae4fb\", -52, 49]], \"precision\": 53}, {\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"educational_45_num\"], \"id\": \"b6bcfa3897c74f2693d3b5d91e32e926\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}]}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"71c9db62473b3\", -58, 51]], \"precision\": 53}, {\"type_ref\": \"sympy.core.power.Pow\", \"*args\": [{\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"educational_45_num\"], \"id\": \"b6bcfa3897c74f2693d3b5d91e32e926\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}, {\"type_ref\": \"sympy.core.numbers.Integer\", \"*args\": [2]}]}]}]}",
134            "7be739065834404cb9e5cc987d4a812e",
135            "FOR ALL",
136            null,
137            0,
138            "income",
139            "educational_45_num",
140            "-INFINITY",
141            "INFINITY",
142            "False",
143            "False",
144            false,
145            "None",
146            "educational_45_num[>-inf, <inf]",
147            1,
148            0,
149            "THEN_ONLY",
150            "b90b1a8be22a4073aa294312092948cb_7be739065834404cb9e5cc987d4a812e_0",
151            0,
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157            "['educational_45_num', ['GT', -inf, 'LT', inf], 'activations']"
158          ],
159          [
160            2,
161            "2bcb9dc8-adult_income-root_ae51ef149e564e44aea29d4289015533_4cffa35d90c724f76f80249ba71b7c8f0279ad9eee4b5ff151bc7e25c96e6369",
162            2,
163            "capital_45_gain",
164            [
165              "capital_45_gain"
166            ],
167            "daf6694d509448c9bedd8b624a08999f",
168            "a2d4cd5e1bc94df7922ae561c77b50ae",
169            0,
170            2,
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172            "-1.06341452398435e-9*capital_45_gain**2 + 0.000121424800667334*capital_45_gain - 0.0931422759164536",
173            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"2fb05829df529\", -53, 50]], \"precision\": 53}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"fea571877de37\", -65, 52]], \"precision\": 53}, {\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"capital_45_gain\"], \"id\": \"6568e48f825b4f0380da2ab2a701e75c\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"1244f25040d1ef\", -82, 53]], \"precision\": 53}, {\"type_ref\": \"sympy.core.power.Pow\", \"*args\": [{\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"capital_45_gain\"], \"id\": \"6568e48f825b4f0380da2ab2a701e75c\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}, {\"type_ref\": \"sympy.core.numbers.Integer\", \"*args\": [2]}]}]}]}",
174            "-1.06341452398435e-9*capital_45_gain**2 + 0.000121424800667334*capital_45_gain - 0.0931422759164536",
175            "null",
176            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"2fb05829df529\", -53, 50]], \"precision\": 53}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"fea571877de37\", -65, 52]], \"precision\": 53}, {\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"capital_45_gain\"], \"id\": \"6568e48f825b4f0380da2ab2a701e75c\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}]}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"1244f25040d1ef\", -82, 53]], \"precision\": 53}, {\"type_ref\": \"sympy.core.power.Pow\", \"*args\": [{\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"capital_45_gain\"], \"id\": \"6568e48f825b4f0380da2ab2a701e75c\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}, {\"type_ref\": \"sympy.core.numbers.Integer\", \"*args\": [2]}]}]}]}",
177            "d50bcf80db5c4aabbc2e46e0d2392b12",
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179            null,
180            0,
181            "income",
182            "capital_45_gain",
183            "-INFINITY",
184            "INFINITY",
185            "False",
186            "False",
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189            "capital_45_gain[>-inf, <inf]",
190            1,
191            0,
192            "THEN_ONLY",
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200            "['capital_45_gain', ['GT', -inf, 'LT', inf], 'activations']"
201          ],
202          [
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205            3,
206            "capital_45_loss",
207            [
208              "capital_45_loss"
209            ],
210            "daf6694d509448c9bedd8b624a08999f",
211            "cd4b8aad72dc4e87b74767da8840798e",
212            0,
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214            "*",
215            "1.03431672932186e-7*capital_45_loss**2 + 9.9195833362973e-5*capital_45_loss - 0.0472697231630809",
216            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"1833bcb6271eb5\", -57, 53]], \"precision\": 53}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"3401d6e1ad187\", -63, 50]], \"precision\": 53}, {\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"capital_45_loss\"], \"id\": \"af43a761294a4a7780f075d31e4b896a\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"1bc3c53bacfab3\", -76, 53]], \"precision\": 53}, {\"type_ref\": \"sympy.core.power.Pow\", \"*args\": [{\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"capital_45_loss\"], \"id\": \"af43a761294a4a7780f075d31e4b896a\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}, {\"type_ref\": \"sympy.core.numbers.Integer\", \"*args\": [2]}]}]}]}",
217            "1.03431672932186e-7*capital_45_loss**2 + 9.9195833362973e-5*capital_45_loss - 0.0472697231630809",
218            "null",
219            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"1833bcb6271eb5\", -57, 53]], \"precision\": 53}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"3401d6e1ad187\", -63, 50]], \"precision\": 53}, {\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"capital_45_loss\"], \"id\": \"af43a761294a4a7780f075d31e4b896a\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}]}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"1bc3c53bacfab3\", -76, 53]], \"precision\": 53}, {\"type_ref\": \"sympy.core.power.Pow\", \"*args\": [{\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"capital_45_loss\"], \"id\": \"af43a761294a4a7780f075d31e4b896a\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}, {\"type_ref\": \"sympy.core.numbers.Integer\", \"*args\": [2]}]}]}]}",
220            "8729cd66a144435fb3cc35a5a7f7ff8c",
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232            "capital_45_loss[>-inf, <inf]",
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248            4,
249            "hours_45_per_45_week",
250            [
251              "hours_45_per_45_week"
252            ],
253            "daf6694d509448c9bedd8b624a08999f",
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259            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"89740abc1055f\", -53, 52]], \"precision\": 53}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"1faf1fb7e3d815\", -60, 53]], \"precision\": 53}, {\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"hours_45_per_45_week\"], \"id\": \"5a9e97880c654e40ab1d112d12bc1e7f\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"eafaa5dc5ccbf\", -67, 52]], \"precision\": 53}, {\"type_ref\": \"sympy.core.power.Pow\", \"*args\": [{\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"hours_45_per_45_week\"], \"id\": \"5a9e97880c654e40ab1d112d12bc1e7f\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}, {\"type_ref\": \"sympy.core.numbers.Integer\", \"*args\": [2]}]}]}]}",
260            "-2.8011690775731e-5*hours_45_per_45_week**2 + 0.00773537054032227*hours_45_per_45_week - 0.268463454682358",
261            "null",
262            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"89740abc1055f\", -53, 52]], \"precision\": 53}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"1faf1fb7e3d815\", -60, 53]], \"precision\": 53}, {\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"hours_45_per_45_week\"], \"id\": \"5a9e97880c654e40ab1d112d12bc1e7f\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}]}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"eafaa5dc5ccbf\", -67, 52]], \"precision\": 53}, {\"type_ref\": \"sympy.core.power.Pow\", \"*args\": [{\"type_ref\": \"Symbols.FeatureSymbol\", \"*args\": [\"hours_45_per_45_week\"], \"id\": \"5a9e97880c654e40ab1d112d12bc1e7f\", \"dataset_name\": \"2bcb9dc8-adult_income-root\"}, {\"type_ref\": \"sympy.core.numbers.Integer\", \"*args\": [2]}]}]}]}",
263            "fbb9204a1bad43e186cdbf6f978a048a",
264            "FOR ALL",
265            null,
266            0,
267            "income",
268            "hours_45_per_45_week",
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432            "-1373.49132072808*native_45_country[Yugoslavia] - 1373.81964960444*native_45_country[Vietnam] - 1373.57707575913*native_45_country[United-States] - 1373.84561399215*native_45_country[Trinadad&Tobago] - 1373.64872942854*native_45_country[Thailand] - 1373.46703915566*native_45_country[Taiwan] - 1373.68412824989*native_45_country[South] - 1373.68340264088*native_45_country[Scotland] - 1373.73908978601*native_45_country[Puerto-Rico] - 1373.65835485868*native_45_country[Portugal] - 1373.66729774112*native_45_country[Poland] - 1373.51928244595*native_45_country[Philippines] - 1373.76001353958*native_45_country[Peru] - 1373.8982031345*native_45_country[Outlying-US(Guam-USVI-etc)] - 1373.81711339109*native_45_country[Nicaragua] - 1373.81628628932*native_45_country[Mexico] - 1373.85927706226*native_45_country[Laos] - 1373.39428115886*native_45_country[Japan] - 1373.67690880471*native_45_country[Jamaica] - 1373.41193795971*native_45_country[Italy] - 1373.51059881189*native_45_country[Ireland] - 1373.51836905039*native_45_country[Iran] - 1373.4501643481*native_45_country[India] - 1373.47855723968*native_45_country[Hungary] - 1373.59594318578*native_45_country[Hong] - 1373.7847636973*native_45_country[Honduras] - 1373.66244797815*native_45_country[Haiti] - 1373.8437496856*native_45_country[Guatemala] - 1373.64088036516*native_45_country[Greece] - 1373.51722533671*native_45_country[Germany] - 1373.24442037211*native_45_country[France] - 1373.34715278159*native_45_country[England] - 1373.81005518408*native_45_country[El-Salvador] - 1373.76279567794*native_45_country[Ecuador] - 1373.79750407635*native_45_country[Dominican-Republic] - 1373.59672134582*native_45_country[Cuba] - 1373.81706916958*native_45_country[Columbia] - 1373.49153224177*native_45_country[China] - 1373.42566687299*native_45_country[Canada] - 1373.47021912432*native_45_country[Cambodia] - 1373.58743904684*native_45_country[?] - 1373.90391305672*native_45_country[__INFREQUENT__] + 1373.57063082812 - 1373.68542560183*native_45_country[__MASK__]",
433            "null",
434            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": 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475            "-1908.69798394743*occupation[Transport-moving] - 1908.59939952975*occupation[Tech-support] - 1908.63699383857*occupation[Sales] - 1908.59738885571*occupation[Protective-serv] - 1908.46173115967*occupation[Prof-specialty] - 1908.86017005997*occupation[Priv-house-serv] - 1908.83988505491*occupation[Other-service] - 1908.78606974645*occupation[Machine-op-inspct] - 1908.82179392283*occupation[Handlers-cleaners] - 1908.80256614659*occupation[Farming-fishing] - 1908.43086561549*occupation[Exec-managerial] - 1908.67972667651*occupation[Craft-repair] - 1908.37742643255*occupation[Armed-Forces] - 1908.75604345215*occupation[Adm-clerical] - 1908.78840844819*occupation[?] + 1908.65301512817 - 1908.67807736717*occupation[__MASK__]",
476            "null",
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506            10,
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648            "-148.744237028299*relationship[Wife] - 148.762469020134*relationship[Unmarried] - 148.762033439328*relationship[Own-child] - 148.761396753408*relationship[Other-relative] - 148.760957868504*relationship[Not-in-family] - 148.746243679071*relationship[Husband] - 148.755615037012*relationship[__MASK__] - 186.974653845779*occupation[Transport-moving] - 186.965394363242*occupation[Tech-support] - 186.968196917415*occupation[Sales] - 186.967995612982*occupation[Protective-serv] - 186.96313801187*occupation[Prof-specialty] - 186.973223107827*occupation[Priv-house-serv] - 186.974399986314*occupation[Other-service] - 186.975947456157*occupation[Machine-op-inspct] - 186.975667489755*occupation[Handlers-cleaners] - 186.98022544171*occupation[Farming-fishing] - 186.961001297847*occupation[Exec-managerial] - 186.973211087357*occupation[Craft-repair] - 186.956989732705*occupation[Armed-Forces] - 186.970551115207*occupation[Adm-clerical] - 186.973277115587*occupation[?] + 335.722935537686 - 186.970384933062*occupation[__MASK__]",
649            "null",
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693            "null",
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732            14,
733            "*",
734            "322.231838992133*education[10th] + 322.256621802012*education[11th] + 322.266330240924*education[12th] + 322.191546108185*education[1st-4th] + 322.203810137829*education[5th-6th] + 322.185567461496*education[7th-8th] + 322.196861449532*education[9th] + 322.312240190316*education[Assoc-acdm] + 322.301679649577*education[Assoc-voc] + 322.387946978595*education[Bachelors] + 322.449813807926*education[Doctorate] + 322.271697205032*education[HS-grad] + 322.430307294961*education[Masters] + 322.167214836282*education[Preschool] + 322.49389208042*education[Prof-school] + 322.311546022997*education[Some-college] + 322.295639513266*education[__MASK__] + 1085.35660006293*(322.231838992133*education[10th] + 322.256621802012*education[11th] + 322.266330240924*education[12th] + 322.191546108185*education[1st-4th] + 322.203810137829*education[5th-6th] + 322.185567461496*education[7th-8th] + 322.196861449532*education[9th] + 322.312240190316*education[Assoc-acdm] + 322.301679649577*education[Assoc-voc] + 322.387946978595*education[Bachelors] + 322.449813807926*education[Doctorate] + 322.271697205032*education[HS-grad] + 322.430307294961*education[Masters] + 322.167214836282*education[Preschool] + 322.49389208042*education[Prof-school] + 322.311546022997*education[Some-college] + 322.295639513266*education[__MASK__])/(322.231838992133*education[10th] + 322.256621802012*education[11th] + 322.266330240924*education[12th] + 322.191546108185*education[1st-4th] + 322.203810137829*education[5th-6th] + 322.185567461496*education[7th-8th] + 322.196861449532*education[9th] + 322.312240190316*education[Assoc-acdm] + 322.301679649577*education[Assoc-voc] + 322.387946978595*education[Bachelors] + 322.449813807926*education[Doctorate] + 322.271697205032*education[HS-grad] + 322.430307294961*education[Masters] + 322.167214836282*education[Preschool] + 322.49389208042*education[Prof-school] + 322.311546022997*education[Some-college] + 322.295639513266*education[__MASK__] - 1407.75977090328*marital_45_status[Divorced] - 1407.58005107107*marital_45_status[Married-AF-spouse] - 1407.60428096682*marital_45_status[Married-civ-spouse] - 1407.73707086858*marital_45_status[Married-spouse-absent] - 1407.7747355444*marital_45_status[Never-married] - 1407.74589599637*marital_45_status[Separated] - 1407.73028126957*marital_45_status[Widowed] - 1407.70615311252*marital_45_status[__MASK__])",
735            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"a11dace66c93\", -39, 48]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"education\", 1], \"id\": \"5492f50967ce4c26aa74724326615ecd\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"10th\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"a125d783fc71\", -39, 48]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"education\", 0], \"id\": \"10bab548402b43fa8a7965eefffe8976\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"__MASK__\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"2846859cd6923\", -41, 50]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"education\", 5], \"id\": \"977274871271496e862e43d2f84b34e0\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"5th-6th\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"509cc9bfda953\", -42, 51]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"education\", 11], \"id\": \"da61b0c799654c9b82e727f6a41fc3ec\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"Doctorate\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"a115674bb69e5\", -43, 52]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"education\", 14], \"id\": \"8f00aef222c2424d81dd42384aaa52bb\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", 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736            "-1407.73028126957*marital_45_status[Widowed] - 1407.74589599637*marital_45_status[Separated] - 1407.7747355444*marital_45_status[Never-married] - 1407.73707086858*marital_45_status[Married-spouse-absent] - 1407.60428096682*marital_45_status[Married-civ-spouse] - 1407.58005107107*marital_45_status[Married-AF-spouse] - 1407.75977090328*marital_45_status[Divorced] - 1407.70615311252*marital_45_status[__MASK__] + 322.311546022997*education[Some-college] + 322.49389208042*education[Prof-school] + 322.167214836282*education[Preschool] + 322.430307294961*education[Masters] + 322.271697205032*education[HS-grad] + 322.449813807926*education[Doctorate] + 322.387946978595*education[Bachelors] + 322.301679649577*education[Assoc-voc] + 322.312240190316*education[Assoc-acdm] + 322.196861449532*education[9th] + 322.185567461496*education[7th-8th] + 322.203810137829*education[5th-6th] + 322.191546108185*education[1st-4th] + 322.266330240924*education[12th] + 322.256621802012*education[11th] + 322.231838992133*education[10th] + 322.295639513266*education[__MASK__] + 1085.35660006293",
737            "null",
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748            "None",
749            true,
750            "HS-grad",
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752            2,
753            0,
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762            "['education', 'HS-grad', 'activations']"
763          ],
764          [
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767            14,
768            "education x marital_45_status",
769            [
770              "education",
771              "marital_45_status"
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780            "-1407.73028126957*marital_45_status[Widowed] - 1407.74589599637*marital_45_status[Separated] - 1407.7747355444*marital_45_status[Never-married] - 1407.73707086858*marital_45_status[Married-spouse-absent] - 1407.60428096682*marital_45_status[Married-civ-spouse] - 1407.58005107107*marital_45_status[Married-AF-spouse] - 1407.75977090328*marital_45_status[Divorced] - 1407.70615311252*marital_45_status[__MASK__] + 322.311546022997*education[Some-college] + 322.49389208042*education[Prof-school] + 322.167214836282*education[Preschool] + 322.430307294961*education[Masters] + 322.271697205032*education[HS-grad] + 322.449813807926*education[Doctorate] + 322.387946978595*education[Bachelors] + 322.301679649577*education[Assoc-voc] + 322.312240190316*education[Assoc-acdm] + 322.196861449532*education[9th] + 322.185567461496*education[7th-8th] + 322.203810137829*education[5th-6th] + 322.191546108185*education[1st-4th] + 322.266330240924*education[12th] + 322.256621802012*education[11th] + 322.231838992133*education[10th] + 322.295639513266*education[__MASK__] + 1085.35660006293",
781            "null",
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783            "a26a3fa7cb0948ada40bef76678d3877",
784            "FOR ALL",
785            null,
786            0,
787            "income",
788            "marital_45_status",
789            null,
790            null,
791            "None",
792            "None",
793            true,
794            "Married-civ-spouse",
795            "marital_45_status[Married-civ-spouse]",
796            2,
797            1,
798            "THEN_ONLY",
799            "96f95af0d80f4a719d86505db18b33e7_a26a3fa7cb0948ada40bef76678d3877_0",
800            3,
801            1769708,
802            "2bcb9dc8-adult_income-root_ae51ef149e564e44aea29d4289015533",
803            0.0311475476,
804            1,
805            "['marital_45_status', 'Married-civ-spouse', 'attribution']",
806            "['marital_45_status', 'Married-civ-spouse', 'activations']"
807          ],
808          [
809            166,
810            "2bcb9dc8-adult_income-root_ae51ef149e564e44aea29d4289015533_b6f3351fee9d7682c2b76a2b7f37de91f6cd06bf32285cffb220d58dc5399668",
811            15,
812            "marital_45_status x occupation",
813            [
814              "marital_45_status",
815              "occupation"
816            ],
817            "daf6694d509448c9bedd8b624a08999f",
818            "1adffcc3e10d43ae826dd7ad36b5c3ef",
819            0,
820            15,
821            "*",
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823            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"2fd172bab6c93\", -41, 50]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"marital_45_status\", 7], \"id\": \"ae0ac88d672745979e8eaa57f00522cb\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"Widowed\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"bf413a3016329\", -43, 52]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"marital_45_status\", 5], \"id\": \"2ecf55a9e5ec43758b9d9aba628b6098\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"Never-married\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, 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[\"marital_45_status\", 2], \"id\": \"1404149cb85c405785b6a46eae93ede7\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"Married-AF-spouse\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"17e84d63f0f7d7\", -44, 53]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"marital_45_status\", 1], \"id\": \"148e052469aa42e6b720cb423e2fd0fa\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"Divorced\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[0, \"17e8d55a4042cf\", -44, 53]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"marital_45_status\", 4], \"id\": \"c6a61f195417494c86aa8d835a977950\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"Married-spouse-absent\", 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825            "null",
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830            0,
831            "income",
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833            null,
834            null,
835            "None",
836            "None",
837            true,
838            "Married-civ-spouse",
839            "marital_45_status[Married-civ-spouse]",
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850            "['marital_45_status', 'Married-civ-spouse', 'activations']"
851          ],
852          [
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855            15,
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857            [
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867            "{\"type_ref\": \"sympy.core.add.Add\", \"*args\": [{\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"57df404a4add\", -35, 47]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"occupation\", 14], \"id\": \"403084ad4dbe464eb3347e21649efd6d\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"Tech-support\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"57dfd833b2f7\", -35, 47]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"occupation\", 0], \"id\": \"8745c3ac0b86474e8ee0272f4f313766\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"__MASK__\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, 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869            "null",
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877            null,
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880            "None",
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896          [
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899            16,
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901            [
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910            "2.66676248881895e-6*capital_45_gain - 7.22821854055749e-8*capital_45_gain/(0.0524669660520171*relationship[Husband] - 0.018591857515513*relationship[Not-in-family] - 0.0375176661814039*relationship[Other-relative] - 0.0374775173803885*relationship[Own-child] - 0.0323468502122389*relationship[Unmarried] + 0.0687220841554012*relationship[Wife] + 0.0047449112870522*relationship[__MASK__] + 2.66676248881895e-6*capital_45_gain)",
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912            "0.0687220841554012*relationship[Wife] - 0.0323468502122389*relationship[Unmarried] - 0.0374775173803885*relationship[Own-child] - 0.0375176661814039*relationship[Other-relative] - 0.018591857515513*relationship[Not-in-family] + 0.0524669660520171*relationship[Husband] + 0.0047449112870522*relationship[__MASK__] + 2.66676248881895e-6*capital_45_gain - 0.0271048455603511",
913            "null",
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915            "d50bcf80db5c4aabbc2e46e0d2392b12",
916            "FOR ALL",
917            null,
918            0,
919            "income",
920            "capital_45_gain",
921            "-INFINITY",
922            "INFINITY",
923            "False",
924            "False",
925            false,
926            "None",
927            "capital_45_gain[>-inf, <inf]",
928            2,
929            0,
930            "THEN_ONLY",
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932            0,
933            1769708,
934            "2bcb9dc8-adult_income-root_ae51ef149e564e44aea29d4289015533",
935            0,
936            1,
937            "['capital_45_gain', ['GT', -inf, 'LT', inf], 'attribution']",
938            "['capital_45_gain', ['GT', -inf, 'LT', inf], 'activations']"
939          ],
940          [
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942            "2bcb9dc8-adult_income-root_ae51ef149e564e44aea29d4289015533_de38f0041deaea0e906dc02f9bbdacaf31c4426ba3dbe1d5b1474c719ce24204",
943            16,
944            "capital_45_gain x relationship",
945            [
946              "capital_45_gain",
947              "relationship"
948            ],
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4], \"id\": \"66dc456dffd141e4a28e69ae5b0ac8a5\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"Own-child\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"99ac1fd4578d3\", -56, 52]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"relationship\", 3], \"id\": \"409d6003f51744dfa2e288ecfad46b37\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"Other-relative\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": \"sympy.core.mul.Mul\", \"*args\": [{\"type_ref\": \"sympy.core.numbers.Float\", \"*args\": [[1, \"108fc42f949207\", -57, 53]], \"precision\": 53}, {\"type_ref\": \"Symbols.CategorySymbol\", \"*args\": [\"relationship\", 5], \"id\": \"5c06dc76d28b400db191d820dda1cc4b\", \"dataset_name\": \"2bcb9dc8-adult_income-root\", \"index_name\": \"Unmarried\", \"encoding\": \"ONE_HOT_ENCODING\"}]}, {\"type_ref\": 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1342          "['native_45_country', 'Nicaragua', 'activations']",
1343          "['native_45_country', 'Outlying-US(Guam-USVI-etc)', 'activations']",
1344          "['native_45_country', 'Peru', 'activations']",
1345          "['native_45_country', 'Philippines', 'activations']",
1346          "['native_45_country', 'Poland', 'activations']",
1347          "['native_45_country', 'Portugal', 'activations']",
1348          "['native_45_country', 'Puerto-Rico', 'activations']",
1349          "['native_45_country', 'Scotland', 'activations']",
1350          "['native_45_country', 'South', 'activations']",
1351          "['native_45_country', 'Taiwan', 'activations']",
1352          "['native_45_country', 'Thailand', 'activations']",
1353          "['native_45_country', 'Trinadad&Tobago', 'activations']",
1354          "['native_45_country', 'United-States', 'activations']",
1355          "['native_45_country', 'Vietnam', 'activations']",
1356          "['native_45_country', 'Yugoslavia', 'activations']",
1357          "['native_45_country', '__INFREQUENT__', 'activations']",
1358          "['native_45_country', '__MASK__', 'activations']",
1359          "['occupation', '?', 'activations']",
1360          "['occupation', 'Adm-clerical', 'activations']",
1361          "['occupation', 'Armed-Forces', 'activations']",
1362          "['occupation', 'Craft-repair', 'activations']",
1363          "['occupation', 'Exec-managerial', 'activations']",
1364          "['occupation', 'Farming-fishing', 'activations']",
1365          "['occupation', 'Handlers-cleaners', 'activations']",
1366          "['occupation', 'Machine-op-inspct', 'activations']",
1367          "['occupation', 'Other-service', 'activations']",
1368          "['occupation', 'Priv-house-serv', 'activations']",
1369          "['occupation', 'Prof-specialty', 'activations']",
1370          "['occupation', 'Protective-serv', 'activations']",
1371          "['occupation', 'Sales', 'activations']",
1372          "['occupation', 'Tech-support', 'activations']",
1373          "['occupation', 'Transport-moving', 'activations']",
1374          "['occupation', '__MASK__', 'activations']",
1375          "['race', 'Amer-Indian-Eskimo', 'activations']",
1376          "['race', 'Asian-Pac-Islander', 'activations']",
1377          "['race', 'Black', 'activations']",
1378          "['race', 'Other', 'activations']",
1379          "['race', 'White', 'activations']",
1380          "['race', '__MASK__', 'activations']",
1381          "['relationship', 'Husband', 'activations']",
1382          "['relationship', 'Not-in-family', 'activations']",
1383          "['relationship', 'Other-relative', 'activations']",
1384          "['relationship', 'Own-child', 'activations']",
1385          "['relationship', 'Unmarried', 'activations']",
1386          "['relationship', 'Wife', 'activations']",
1387          "['relationship', '__MASK__', 'activations']",
1388          "['workclass', '?', 'activations']",
1389          "['workclass', 'Federal-gov', 'activations']",
1390          "['workclass', 'Local-gov', 'activations']",
1391          "['workclass', 'Never-worked', 'activations']",
1392          "['workclass', 'Private', 'activations']",
1393          "['workclass', 'Self-emp-inc', 'activations']",
1394          "['workclass', 'Self-emp-not-inc', 'activations']",
1395          "['workclass', 'State-gov', 'activations']",
1396          "['workclass', 'Without-pay', 'activations']",
1397          "['workclass', '__MASK__', 'activations']",
1398          "['age', ['GT', -inf, 'LT', inf], 'attribution']",
1399          "['capital_45_gain', ['GT', -inf, 'LT', inf], 'attribution']",
1400          "['capital_45_loss', ['GT', -inf, 'LT', inf], 'attribution']",
1401          "['education', '10th', 'attribution']",
1402          "['education', '11th', 'attribution']",
1403          "['education', '12th', 'attribution']",
1404          "['education', '1st-4th', 'attribution']",
1405          "['education', '5th-6th', 'attribution']",
1406          "['education', '7th-8th', 'attribution']",
1407          "['education', '9th', 'attribution']",
1408          "['education', 'Assoc-acdm', 'attribution']",
1409          "['education', 'Assoc-voc', 'attribution']",
1410          "['education', 'Bachelors', 'attribution']",
1411          "['education', 'Doctorate', 'attribution']",
1412          "['education', 'HS-grad', 'attribution']",
1413          "['education', 'Masters', 'attribution']",
1414          "['education', 'Preschool', 'attribution']",
1415          "['education', 'Prof-school', 'attribution']",
1416          "['education', 'Some-college', 'attribution']",
1417          "['education', '__MASK__', 'attribution']",
1418          "['educational_45_num', ['GT', -inf, 'LT', inf], 'attribution']",
1419          "['gender', 'Female', 'attribution']",
1420          "['gender', 'Male', 'attribution']",
1421          "['gender', '__MASK__', 'attribution']",
1422          "['hours_45_per_45_week', ['GT', -inf, 'LT', inf], 'attribution']",
1423          "['marital_45_status', 'Divorced', 'attribution']",
1424          "['marital_45_status', 'Married-AF-spouse', 'attribution']",
1425          "['marital_45_status', 'Married-civ-spouse', 'attribution']",
1426          "['marital_45_status', 'Married-spouse-absent', 'attribution']",
1427          "['marital_45_status', 'Never-married', 'attribution']",
1428          "['marital_45_status', 'Separated', 'attribution']",
1429          "['marital_45_status', 'Widowed', 'attribution']",
1430          "['marital_45_status', '__MASK__', 'attribution']",
1431          "['native_45_country', '?', 'attribution']",
1432          "['native_45_country', 'Cambodia', 'attribution']",
1433          "['native_45_country', 'Canada', 'attribution']",
1434          "['native_45_country', 'China', 'attribution']",
1435          "['native_45_country', 'Columbia', 'attribution']",
1436          "['native_45_country', 'Cuba', 'attribution']",
1437          "['native_45_country', 'Dominican-Republic', 'attribution']",
1438          "['native_45_country', 'Ecuador', 'attribution']",
1439          "['native_45_country', 'El-Salvador', 'attribution']",
1440          "['native_45_country', 'England', 'attribution']",
1441          "['native_45_country', 'France', 'attribution']",
1442          "['native_45_country', 'Germany', 'attribution']",
1443          "['native_45_country', 'Greece', 'attribution']",
1444          "['native_45_country', 'Guatemala', 'attribution']",
1445          "['native_45_country', 'Haiti', 'attribution']",
1446          "['native_45_country', 'Honduras', 'attribution']",
1447          "['native_45_country', 'Hong', 'attribution']",
1448          "['native_45_country', 'Hungary', 'attribution']",
1449          "['native_45_country', 'India', 'attribution']",
1450          "['native_45_country', 'Iran', 'attribution']",
1451          "['native_45_country', 'Ireland', 'attribution']",
1452          "['native_45_country', 'Italy', 'attribution']",
1453          "['native_45_country', 'Jamaica', 'attribution']",
1454          "['native_45_country', 'Japan', 'attribution']",
1455          "['native_45_country', 'Laos', 'attribution']",
1456          "['native_45_country', 'Mexico', 'attribution']",
1457          "['native_45_country', 'Nicaragua', 'attribution']",
1458          "['native_45_country', 'Outlying-US(Guam-USVI-etc)', 'attribution']",
1459          "['native_45_country', 'Peru', 'attribution']",
1460          "['native_45_country', 'Philippines', 'attribution']",
1461          "['native_45_country', 'Poland', 'attribution']",
1462          "['native_45_country', 'Portugal', 'attribution']",
1463          "['native_45_country', 'Puerto-Rico', 'attribution']",
1464          "['native_45_country', 'Scotland', 'attribution']",
1465          "['native_45_country', 'South', 'attribution']",
1466          "['native_45_country', 'Taiwan', 'attribution']",
1467          "['native_45_country', 'Thailand', 'attribution']",
1468          "['native_45_country', 'Trinadad&Tobago', 'attribution']",
1469          "['native_45_country', 'United-States', 'attribution']",
1470          "['native_45_country', 'Vietnam', 'attribution']",
1471          "['native_45_country', 'Yugoslavia', 'attribution']",
1472          "['native_45_country', '__INFREQUENT__', 'attribution']",
1473          "['native_45_country', '__MASK__', 'attribution']",
1474          "['occupation', '?', 'attribution']",
1475          "['occupation', 'Adm-clerical', 'attribution']",
1476          "['occupation', 'Armed-Forces', 'attribution']",
1477          "['occupation', 'Craft-repair', 'attribution']",
1478          "['occupation', 'Exec-managerial', 'attribution']",
1479          "['occupation', 'Farming-fishing', 'attribution']",
1480          "['occupation', 'Handlers-cleaners', 'attribution']",
1481          "['occupation', 'Machine-op-inspct', 'attribution']",
1482          "['occupation', 'Other-service', 'attribution']",
1483          "['occupation', 'Priv-house-serv', 'attribution']",
1484          "['occupation', 'Prof-specialty', 'attribution']",
1485          "['occupation', 'Protective-serv', 'attribution']",
1486          "['occupation', 'Sales', 'attribution']",
1487          "['occupation', 'Tech-support', 'attribution']",
1488          "['occupation', 'Transport-moving', 'attribution']",
1489          "['occupation', '__MASK__', 'attribution']",
1490          "['race', 'Amer-Indian-Eskimo', 'attribution']",
1491          "['race', 'Asian-Pac-Islander', 'attribution']",
1492          "['race', 'Black', 'attribution']",
1493          "['race', 'Other', 'attribution']",
1494          "['race', 'White', 'attribution']",
1495          "['race', '__MASK__', 'attribution']",
1496          "['relationship', 'Husband', 'attribution']",
1497          "['relationship', 'Not-in-family', 'attribution']",
1498          "['relationship', 'Other-relative', 'attribution']",
1499          "['relationship', 'Own-child', 'attribution']",
1500          "['relationship', 'Unmarried', 'attribution']",
1501          "['relationship', 'Wife', 'attribution']",
1502          "['relationship', '__MASK__', 'attribution']",
1503          "['workclass', '?', 'attribution']",
1504          "['workclass', 'Federal-gov', 'attribution']",
1505          "['workclass', 'Local-gov', 'attribution']",
1506          "['workclass', 'Never-worked', 'attribution']",
1507          "['workclass', 'Private', 'attribution']",
1508          "['workclass', 'Self-emp-inc', 'attribution']",
1509          "['workclass', 'Self-emp-not-inc', 'attribution']",
1510          "['workclass', 'State-gov', 'attribution']",
1511          "['workclass', 'Without-pay', 'attribution']",
1512          "['workclass', '__MASK__', 'attribution']",
1513          "decomposition_equation(age)",
1514          "decomposition_equation(capital_45_gain)",
1515          "decomposition_equation(capital_45_loss)",
1516          "decomposition_equation(education)",
1517          "decomposition_equation(educational_45_num)",
1518          "decomposition_equation(gender)",
1519          "decomposition_equation(hours_45_per_45_week)",
1520          "decomposition_equation(marital_45_status)",
1521          "decomposition_equation(native_45_country)",
1522          "decomposition_equation(occupation)",
1523          "decomposition_equation(race)",
1524          "decomposition_equation(relationship)",
1525          "decomposition_equation(workclass)",
1526          "decomposition_value(age)",
1527          "decomposition_value(capital_45_gain)",
1528          "decomposition_value(capital_45_loss)",
1529          "decomposition_value(education)",
1530          "decomposition_value(educational_45_num)",
1531          "decomposition_value(gender)",
1532          "decomposition_value(hours_45_per_45_week)",
1533          "decomposition_value(marital_45_status)",
1534          "decomposition_value(native_45_country)",
1535          "decomposition_value(occupation)",
1536          "decomposition_value(race)",
1537          "decomposition_value(relationship)",
1538          "decomposition_value(workclass)"
1539        ],
1540        "index": [
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1542          1,
1543          2,
1544          3,
1545          4,
1546          5,
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1555          14,
1556          15,
1557          16,
1558          17
1559        ],
1560        "data": [
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1841            "nan",
1842            "nan",
1843            "nan",
1844            "nan",
1845            "nan",
1846            "nan",
1847            "nan",
1848            "nan",
1849            "nan",
1850            "nan",
1851            "nan",
1852            "nan",
1853            "{0: 0.06478085407275591}",
1854            "nan",
1855            "nan",
1856            "nan",
1857            "nan",
1858            "nan",
1859            "nan",
1860            "nan",
1861            "nan",
1862            "nan",
1863            "nan",
1864            "nan",
1865            "nan"
1866          ],
1867          [
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4288            "nan",
4289            "nan",
4290            "nan",
4291            "nan",
4292            "nan",
4293            "nan",
4294            "nan",
4295            "nan",
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4297            "nan",
4298            "nan",
4299            "nan",
4300            "nan",
4301            "nan",
4302            "nan",
4303            "nan",
4304            "nan",
4305            "nan",
4306            "nan",
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6128            "nan",
6129            "nan",
6130            "nan",
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1407.7747355444*marital_45_status[Never-married] - 1407.74589599637*marital_45_status[Separated] - 1407.73028126957*marital_45_status[Widowed] - 1407.70615311252*marital_45_status[__MASK__])', 161: '-1407.75977090328*marital_45_status[Divorced] - 1407.58005107107*marital_45_status[Married-AF-spouse] - 1407.60428096682*marital_45_status[Married-civ-spouse] - 1407.73707086858*marital_45_status[Married-spouse-absent] - 1407.7747355444*marital_45_status[Never-married] - 1407.74589599637*marital_45_status[Separated] - 1407.73028126957*marital_45_status[Widowed] - 1407.70615311252*marital_45_status[__MASK__] + 1085.35660006293*(-1407.75977090328*marital_45_status[Divorced] - 1407.58005107107*marital_45_status[Married-AF-spouse] - 1407.60428096682*marital_45_status[Married-civ-spouse] - 1407.73707086858*marital_45_status[Married-spouse-absent] - 1407.7747355444*marital_45_status[Never-married] - 1407.74589599637*marital_45_status[Separated] - 1407.73028126957*marital_45_status[Widowed] - 1407.70615311252*marital_45_status[__MASK__])/(322.231838992133*education[10th] + 322.256621802012*education[11th] + 322.266330240924*education[12th] + 322.191546108185*education[1st-4th] + 322.203810137829*education[5th-6th] + 322.185567461496*education[7th-8th] + 322.196861449532*education[9th] + 322.312240190316*education[Assoc-acdm] + 322.301679649577*education[Assoc-voc] + 322.387946978595*education[Bachelors] + 322.449813807926*education[Doctorate] + 322.271697205032*education[HS-grad] + 322.430307294961*education[Masters] + 322.167214836282*education[Preschool] + 322.49389208042*education[Prof-school] + 322.311546022997*education[Some-college] + 322.295639513266*education[__MASK__] - 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6437            "{163: '382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__] + 2429.32994086609*(382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__])/(382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__] - 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2812.02942549768*occupation[?] - 2811.98294839324*occupation[Adm-clerical] - 2811.76391665603*occupation[Armed-Forces] - 2812.01914489524*occupation[Craft-repair] - 2811.84162029987*occupation[Exec-managerial] - 2812.13081568926*occupation[Farming-fishing] - 2812.05727008911*occupation[Handlers-cleaners] - 2812.06111199579*occupation[Machine-op-inspct] - 2812.04064542925*occupation[Other-service] - 2812.03442896919*occupation[Priv-house-serv] - 2811.88051767519*occupation[Prof-specialty] - 2811.941975621*occupation[Protective-serv] - 2811.94536611623*occupation[Sales] - 2811.90639170157*occupation[Tech-support] - 2812.04532974366*occupation[Transport-moving] - 2811.98056735817*occupation[__MASK__])', 166: '382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__] + 2429.32994086609*(382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__])/(382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__] - 2812.02942549768*occupation[?] - 2811.98294839324*occupation[Adm-clerical] - 2811.76391665603*occupation[Armed-Forces] - 2812.01914489524*occupation[Craft-repair] - 2811.84162029987*occupation[Exec-managerial] - 2812.13081568926*occupation[Farming-fishing] - 2812.05727008911*occupation[Handlers-cleaners] - 2812.06111199579*occupation[Machine-op-inspct] - 2812.04064542925*occupation[Other-service] - 2812.03442896919*occupation[Priv-house-serv] - 2811.88051767519*occupation[Prof-specialty] - 2811.941975621*occupation[Protective-serv] - 2811.94536611623*occupation[Sales] - 2811.90639170157*occupation[Tech-support] - 2812.04532974366*occupation[Transport-moving] - 2811.98056735817*occupation[__MASK__])', 167: '382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__] + 2429.32994086609*(382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__])/(382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__] - 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2812.02942549768*occupation[?] - 2811.98294839324*occupation[Adm-clerical] - 2811.76391665603*occupation[Armed-Forces] - 2812.01914489524*occupation[Craft-repair] - 2811.84162029987*occupation[Exec-managerial] - 2812.13081568926*occupation[Farming-fishing] - 2812.05727008911*occupation[Handlers-cleaners] - 2812.06111199579*occupation[Machine-op-inspct] - 2812.04064542925*occupation[Other-service] - 2812.03442896919*occupation[Priv-house-serv] - 2811.88051767519*occupation[Prof-specialty] - 2811.941975621*occupation[Protective-serv] - 2811.94536611623*occupation[Sales] - 2811.90639170157*occupation[Tech-support] - 2812.04532974366*occupation[Transport-moving] - 2811.98056735817*occupation[__MASK__])', 169: '382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__] + 2429.32994086609*(382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__])/(382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__] - 2812.02942549768*occupation[?] - 2811.98294839324*occupation[Adm-clerical] - 2811.76391665603*occupation[Armed-Forces] - 2812.01914489524*occupation[Craft-repair] - 2811.84162029987*occupation[Exec-managerial] - 2812.13081568926*occupation[Farming-fishing] - 2812.05727008911*occupation[Handlers-cleaners] - 2812.06111199579*occupation[Machine-op-inspct] - 2812.04064542925*occupation[Other-service] - 2812.03442896919*occupation[Priv-house-serv] - 2811.88051767519*occupation[Prof-specialty] - 2811.941975621*occupation[Protective-serv] - 2811.94536611623*occupation[Sales] - 2811.90639170157*occupation[Tech-support] - 2812.04532974366*occupation[Transport-moving] - 2811.98056735817*occupation[__MASK__])', 170: '382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__] + 2429.32994086609*(382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__])/(382.518894139559*marital_45_status[Divorced] + 382.766829125974*marital_45_status[Married-AF-spouse] + 382.722630283971*marital_45_status[Married-civ-spouse] + 382.552088023204*marital_45_status[Married-spouse-absent] + 382.509588251914*marital_45_status[Never-married] + 382.530430285326*marital_45_status[Separated] + 382.545255047802*marital_45_status[Widowed] + 382.596479385451*marital_45_status[__MASK__] - 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6438            "nan",
6439            "{171: '-2812.02942549768*occupation[?] - 2811.98294839324*occupation[Adm-clerical] - 2811.76391665603*occupation[Armed-Forces] - 2812.01914489524*occupation[Craft-repair] - 2811.84162029987*occupation[Exec-managerial] - 2812.13081568926*occupation[Farming-fishing] - 2812.05727008911*occupation[Handlers-cleaners] - 2812.06111199579*occupation[Machine-op-inspct] - 2812.04064542925*occupation[Other-service] - 2812.03442896919*occupation[Priv-house-serv] - 2811.88051767519*occupation[Prof-specialty] - 2811.941975621*occupation[Protective-serv] - 2811.94536611623*occupation[Sales] - 2811.90639170157*occupation[Tech-support] - 2812.04532974366*occupation[Transport-moving] - 2811.98056735817*occupation[__MASK__] + 2429.32994086609*(-2812.02942549768*occupation[?] - 2811.98294839324*occupation[Adm-clerical] - 2811.76391665603*occupation[Armed-Forces] - 2812.01914489524*occupation[Craft-repair] - 2811.84162029987*occupation[Exec-managerial] - 2812.13081568926*occupation[Farming-fishing] - 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7491            "data_type": "NUMBER",
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7495            "data_type": "NUMBER",
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7498          {
7499            "data_type": "NUMBER",
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7501          },
7502          {
7503            "data_type": "NUMBER",
7504            "format": "INT64"
7505          },
7506          {
7507            "data_type": "NUMBER",
7508            "format": "INT64"
7509          },
7510          {
7511            "data_type": "NUMBER",
7512            "format": "INT64"
7513          },
7514          {
7515            "data_type": "NUMBER",
7516            "format": "INT64"
7517          },
7518          {
7519            "data_type": "NUMBER",
7520            "format": "INT64"
7521          },
7522          {
7523            "data_type": "NUMBER",
7524            "format": "INT64"
7525          },
7526          {
7527            "data_type": "NUMBER",
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7530          {
7531            "data_type": "NUMBER",
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7543            "data_type": "NUMBER",
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7547            "data_type": "NUMBER",
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7599            "data_type": "NUMBER",
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7621          },
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7625          },
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7633          },
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7637          },
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7639            "data_type": "NUMBER",
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7685          },
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7713          },
7714          {
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7718          {
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7721          },
7722          {
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8093          },
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8216            "format": null
8217          },
8218          {
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8225          },
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8228            "format": null
8229          },
8230          {
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8232            "format": null
8233          },
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8236            "format": null
8237          },
8238          {
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8241          },
8242          {
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8244            "format": null
8245          },
8246          {
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8248            "format": null
8249          },
8250          {
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8253          },
8254          {
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8256            "format": null
8257          },
8258          {
8259            "data_type": "STRING",
8260            "format": null
8261          },
8262          {
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8264            "format": null
8265          },
8266          {
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8268            "format": null
8269          },
8270          {
8271            "data_type": "STRING",
8272            "format": null
8273          },
8274          {
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8276            "format": null
8277          }
8278        ]
8279      },
8280      "views_version": {
8281        "major_version": 0,
8282        "minor_version": 5,
8283        "patch_version": 0,
8284        "build_version": "dev76"
8285      },
8286      "output_version": {
8287        "major_version": 3,
8288        "minor_version": 0,
8289        "patch_version": 0,
8290        "build_version": null
8291      }
8292    }
8293  ]
8294}

The request needs view_type set to RESULTS and query data aligned with the deployed model input schema.

Output

The response follows the shared Response structure format.

The Results view returns multiple named dataframes inside view_data.

DataframeDescription
model_infoMetadata about the model and the inference output, including model identifier and intercept information.
query_inputThe query values submitted to the deployed model, organised by input feature.
feature_attributionAttribution values organised by input feature.
total_attributionTotal attribution for each query row.
predicted_outputPredicted output for each query row.
module_attributionAttribution values organised by model module.
partition_activationPartition activation values for each query row.
partition_attributionAttribution values organised by partition.
decomposition_activationActivation values for decomposition components.
decomposition_attributionAttribution values for decomposition components.
estimators_predicted_outputOptional predicted output from each estimator, when estimator output is available.
estimators_feature_attributionOptional feature attribution values by estimator.
estimators_module_attributionOptional module attribution values by estimator.
estimators_partition_attributionOptional partition attribution values by estimator.
estimators_decomposition_attributionOptional decomposition attribution values by estimator.

The Results view also includes commons_version and core_version metadata alongside the common view metadata.

Interpret the result

The Results view is easiest to read from the prediction outward: start with the predicted output, then inspect attribution, modules, partitions, and estimator data when available.

Start with the prediction

Use predicted_output as the model response for each query row.

For a single query row, the dataframe contains the prediction returned by the deployed model. For a batch query, each row corresponds to a query row.

Use query_input beside predicted_output when you need to display the request and result together.

Check total attribution

Use total_attribution to understand the total contribution behind the prediction.

For many models, the prediction can be read as the model intercept plus the total attribution. The model_info dataframe contains model-level information such as the intercept and model identifier.

This is useful when you need to check whether the explanation data aligns with the prediction output.

Inspect feature and module contributions

Use feature_attribution to see the contribution of each input feature.

Use module_attribution to see the contribution of each module. A module may represent a single feature or an interaction between features, so module attribution can be more structural than feature attribution.

If you need a cleaner, user-facing rollup of these values, use Feature attribution or Module attribution.

Trace partitions and decompositions

Use partition_activation to see which partitions were active for the query.

Use partition_attribution to see how much each partition contributed. Then use decomposition_activation and decomposition_attribution when you need a finer-grained breakdown of the activated model components.

These dataframes are useful for debugging or building custom explanation tools, but they are lower-level than the attribution views.

Compare estimator outputs

If estimator data is present, use the estimators_* dataframes to inspect how individual estimators contributed.

Large differences across estimator outputs or attributions can indicate uncertainty or instability. For a user-facing view of strength, uncertainty, and adjusted error, use Strengths and weaknesses.

Field reference

The Results view returns dataframes, so individual columns are not documented as standalone API schema properties. Many columns are dynamic and depend on the model features, targets, modules, partitions, decompositions, and estimators.

model_info

The model_info dataframe contains model-level metadata for the result.

FieldDescription
model_interceptModel intercept term used in the prediction.
model_idID of the model behind the deployed model.
dataset_nameName of the dataset used to train the model, when available.
commons_versionVersion of the commons library used to generate the result, when included in the dataframe.
core_versionVersion of the core library used to generate the result, when included in the dataframe.
estimators_aggregation_typeMethod used to aggregate estimator outputs, when available.
estimators_aggregation_weightsWeights applied to estimator outputs, when available.
estimators_aggregation_biasBias term applied during estimator aggregation, when available.

query_input

The query_input dataframe contains the input values submitted to the deployed model.

Column patternDescription
<input_feature>Value of the input feature for each query row.

feature_attribution

The feature_attribution dataframe contains attribution values by input feature.

Column patternDescription
<input_feature>Attribution value for the input feature. Positive values raise the prediction; negative values lower it.

total_attribution

The total_attribution dataframe contains the total attribution for each query row.

Column patternDescription
<target_index>Total attribution for the target output.

predicted_output

The predicted_output dataframe contains the model prediction for each query row.

Column patternDescription
<target_index>Predicted value for the target output.

module_attribution

The module_attribution dataframe contains attribution values by model module.

Column patternDescription
<module_index>Attribution value for the module.

partition_activation

The partition_activation dataframe indicates which partitions were activated.

Column patternDescription
<partition_index>Activation value for the partition.

partition_attribution

The partition_attribution dataframe contains attribution values by partition.

Column patternDescription
<partition_index>Attribution value for the partition.

decomposition_activation

The decomposition_activation dataframe indicates which decomposition components were activated.

Column patternDescription
<decomposition_index>Activation value for the decomposition component.

decomposition_attribution

The decomposition_attribution dataframe contains attribution values by decomposition component.

Column patternDescription
<decomposition_index>Attribution value for the decomposition component.

Estimator dataframes

Estimator dataframes are included when estimator output is available.

DataframeDescription
estimators_predicted_outputPredicted output from each estimator.
estimators_feature_attributionFeature attribution values by estimator.
estimators_module_attributionModule attribution values by estimator.
estimators_partition_attributionPartition attribution values by estimator.
estimators_decomposition_attributionDecomposition attribution values by estimator.