updating experimental econml notebook, drlearner still has bugs
This commit is contained in:
Amit Sharma
Родитель
4c7e96d5d2
Коммит
0c8d44eb14
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
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@ -170,7 +170,7 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:dowhy.causal_identifier:Common causes of treatment and outcome:['W2', 'W1', 'Unobserved Confounders', 'W3', 'W0', 'W4']\n",
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"INFO:dowhy.causal_identifier:Common causes of treatment and outcome:['W2', 'W4', 'Unobserved Confounders', 'W0', 'W3', 'W1']\n",
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"WARNING:dowhy.causal_identifier:There are unobserved common causes. Causal effect cannot be identified.\n"
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]
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},
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@ -185,7 +185,7 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:dowhy.causal_identifier:Instrumental variables for treatment and outcome:['Z0', 'Z1']\n"
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"INFO:dowhy.causal_identifier:Instrumental variables for treatment and outcome:['Z1', 'Z0']\n"
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]
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},
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{
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@ -197,15 +197,15 @@
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"Estimand name: backdoor\n",
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"Estimand expression:\n",
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" d \n",
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"───(Expectation(y|W2,W1,W3,W0,W4))\n",
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"───(Expectation(y|W2,W4,W0,W3,W1))\n",
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"dv₀ \n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W1,W3,W0,W4,U) = P(y|v0,W2,W1,W3,W0,W4)\n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W4,W0,W3,W1,U) = P(y|v0,W2,W4,W0,W3,W1)\n",
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"### Estimand : 2\n",
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"Estimand name: iv\n",
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"Estimand expression:\n",
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"Expectation(Derivative(y, Z0)/Derivative(v0, Z0))\n",
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"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z0,Z1)\n",
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"Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→v0, then ¬(Z0,Z1→y)\n",
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"Expectation(Derivative(y, Z1)/Derivative(v0, Z1))\n",
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"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z1,Z0)\n",
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"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v0, then ¬(Z1,Z0→y)\n",
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"\n"
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]
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}
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@ -234,7 +234,7 @@
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"output_type": "stream",
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"text": [
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"INFO:dowhy.causal_estimator:INFO: Using Linear Regression Estimator\n",
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"INFO:dowhy.causal_estimator:b: y~v0+W2+W1+W3+W0+W4\n"
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"INFO:dowhy.causal_estimator:b: y~v0+W2+W4+W0+W3+W1\n"
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]
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},
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{
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@ -249,25 +249,25 @@
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"Estimand name: backdoor\n",
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"Estimand expression:\n",
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" d \n",
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"───(Expectation(y|W2,W1,W3,W0,W4))\n",
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"───(Expectation(y|W2,W4,W0,W3,W1))\n",
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"dv₀ \n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W1,W3,W0,W4,U) = P(y|v0,W2,W1,W3,W0,W4)\n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W4,W0,W3,W1,U) = P(y|v0,W2,W4,W0,W3,W1)\n",
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"### Estimand : 2\n",
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"Estimand name: iv\n",
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"Estimand expression:\n",
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"Expectation(Derivative(y, Z0)/Derivative(v0, Z0))\n",
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"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z0,Z1)\n",
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"Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→v0, then ¬(Z0,Z1→y)\n",
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"Expectation(Derivative(y, Z1)/Derivative(v0, Z1))\n",
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"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z1,Z0)\n",
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"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v0, then ¬(Z1,Z0→y)\n",
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"\n",
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"## Realized estimand\n",
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"b: y~v0+W2+W1+W3+W0+W4\n",
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"b: y~v0+W2+W4+W0+W3+W1\n",
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"## Estimate\n",
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"Value: 10.000000000000338\n",
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"Value: 9.999999999999693\n",
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"\n",
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"## Statistical Significance\n",
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"p-value: <0.001\n",
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"\n",
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"Causal Estimate is 10.000000000000338\n"
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"Causal Estimate is 9.999999999999693\n"
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]
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}
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],
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@ -298,7 +298,7 @@
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"output_type": "stream",
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"text": [
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"INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
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"INFO:dowhy.causal_estimator:b: y~v0+W2+W1+W3+W0+W4\n",
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"INFO:dowhy.causal_estimator:b: y~v0+W2+W4+W0+W3+W1\n",
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"/home/amit/.local/lib/python3.6/site-packages/sklearn/utils/validation.py:744: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
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" y = column_or_1d(y, warn=True)\n"
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]
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@ -315,22 +315,22 @@
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"Estimand name: backdoor\n",
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"Estimand expression:\n",
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" d \n",
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"───(Expectation(y|W2,W1,W3,W0,W4))\n",
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"───(Expectation(y|W2,W4,W0,W3,W1))\n",
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"dv₀ \n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W1,W3,W0,W4,U) = P(y|v0,W2,W1,W3,W0,W4)\n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W4,W0,W3,W1,U) = P(y|v0,W2,W4,W0,W3,W1)\n",
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"### Estimand : 2\n",
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"Estimand name: iv\n",
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"Estimand expression:\n",
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"Expectation(Derivative(y, Z0)/Derivative(v0, Z0))\n",
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"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z0,Z1)\n",
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"Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→v0, then ¬(Z0,Z1→y)\n",
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"Expectation(Derivative(y, Z1)/Derivative(v0, Z1))\n",
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"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z1,Z0)\n",
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"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v0, then ¬(Z1,Z0→y)\n",
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"\n",
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"## Realized estimand\n",
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"b: y~v0+W2+W1+W3+W0+W4\n",
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"b: y~v0+W2+W4+W0+W3+W1\n",
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"## Estimate\n",
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"Value: 10.418874541461191\n",
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"Value: 10.023434125219422\n",
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"\n",
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"Causal Estimate is 10.418874541461191\n"
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"Causal Estimate is 10.023434125219422\n"
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]
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}
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],
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@ -360,7 +360,7 @@
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"output_type": "stream",
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"text": [
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"INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
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"INFO:dowhy.causal_estimator:b: y~v0+W2+W1+W3+W0+W4\n",
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"INFO:dowhy.causal_estimator:b: y~v0+W2+W4+W0+W3+W1\n",
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"/home/amit/.local/lib/python3.6/site-packages/sklearn/utils/validation.py:744: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
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" y = column_or_1d(y, warn=True)\n",
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"/mnt/c/Users/amshar/code/dowhy/dowhy/causal_estimators/propensity_score_matching_estimator.py:62: FutureWarning: `item` has been deprecated and will be removed in a future version\n",
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@ -379,22 +379,22 @@
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"Estimand name: backdoor\n",
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"Estimand expression:\n",
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" d \n",
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"───(Expectation(y|W2,W1,W3,W0,W4))\n",
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"───(Expectation(y|W2,W4,W0,W3,W1))\n",
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"dv₀ \n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W1,W3,W0,W4,U) = P(y|v0,W2,W1,W3,W0,W4)\n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W4,W0,W3,W1,U) = P(y|v0,W2,W4,W0,W3,W1)\n",
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"### Estimand : 2\n",
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||||
"Estimand name: iv\n",
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"Estimand expression:\n",
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||||
"Expectation(Derivative(y, Z0)/Derivative(v0, Z0))\n",
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||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z0,Z1)\n",
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||||
"Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→v0, then ¬(Z0,Z1→y)\n",
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"Expectation(Derivative(y, Z1)/Derivative(v0, Z1))\n",
|
||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z1,Z0)\n",
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||||
"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v0, then ¬(Z1,Z0→y)\n",
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"\n",
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"## Realized estimand\n",
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"b: y~v0+W2+W1+W3+W0+W4\n",
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"b: y~v0+W2+W4+W0+W3+W1\n",
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"## Estimate\n",
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"Value: 9.900673739687496\n",
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"Value: 16.567950719540818\n",
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"\n",
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"Causal Estimate is 9.900673739687496\n"
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||||
"Causal Estimate is 16.567950719540818\n"
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||||
]
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||||
}
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],
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@ -427,7 +427,7 @@
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"output_type": "stream",
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"text": [
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"INFO:dowhy.causal_estimator:INFO: Using Propensity Score Weighting Estimator\n",
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"INFO:dowhy.causal_estimator:b: y~v0+W2+W1+W3+W0+W4\n"
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"INFO:dowhy.causal_estimator:b: y~v0+W2+W4+W0+W3+W1\n"
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]
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},
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{
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@ -442,22 +442,22 @@
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"Estimand name: backdoor\n",
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"Estimand expression:\n",
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" d \n",
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"───(Expectation(y|W2,W1,W3,W0,W4))\n",
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"───(Expectation(y|W2,W4,W0,W3,W1))\n",
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"dv₀ \n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W1,W3,W0,W4,U) = P(y|v0,W2,W1,W3,W0,W4)\n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W4,W0,W3,W1,U) = P(y|v0,W2,W4,W0,W3,W1)\n",
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"### Estimand : 2\n",
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"Estimand name: iv\n",
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"Estimand expression:\n",
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"Expectation(Derivative(y, Z0)/Derivative(v0, Z0))\n",
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"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z0,Z1)\n",
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"Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→v0, then ¬(Z0,Z1→y)\n",
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"Expectation(Derivative(y, Z1)/Derivative(v0, Z1))\n",
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"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z1,Z0)\n",
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"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v0, then ¬(Z1,Z0→y)\n",
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"\n",
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"## Realized estimand\n",
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"b: y~v0+W2+W1+W3+W0+W4\n",
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"b: y~v0+W2+W4+W0+W3+W1\n",
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"## Estimate\n",
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"Value: 10.18763893548709\n",
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"Value: 19.171266513511014\n",
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"\n",
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"Causal Estimate is 10.18763893548709\n"
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"Causal Estimate is 19.171266513511014\n"
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]
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},
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{
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@ -499,9 +499,9 @@
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"Realized estimand type: ate\n",
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"Estimand expression:\n",
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" -1\n",
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"Expectation(Derivative(y, Z0))⋅Expectation(Derivative(v0, Z0)) \n",
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"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z0,Z1)\n",
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"Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→v0, then ¬(Z0,Z1→y)\n",
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"Expectation(Derivative(y, Z1))⋅Expectation(Derivative(v0, Z1)) \n",
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"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z1,Z0)\n",
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"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v0, then ¬(Z1,Z0→y)\n",
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"Estimand assumption 3, treatment_effect_homogeneity: Each unit's treatment ['v0'] isaffected in the same way by common causes of ['v0'] and y\n",
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"Estimand assumption 4, outcome_effect_homogeneity: Each unit's outcome y isaffected in the same way by common causes of ['v0'] and y\n",
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"\n"
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@ -519,31 +519,31 @@
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"Estimand name: backdoor\n",
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"Estimand expression:\n",
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" d \n",
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"───(Expectation(y|W2,W1,W3,W0,W4))\n",
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"───(Expectation(y|W2,W4,W0,W3,W1))\n",
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"dv₀ \n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W1,W3,W0,W4,U) = P(y|v0,W2,W1,W3,W0,W4)\n",
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"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W4,W0,W3,W1,U) = P(y|v0,W2,W4,W0,W3,W1)\n",
|
||||
"### Estimand : 2\n",
|
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"Estimand name: iv\n",
|
||||
"Estimand expression:\n",
|
||||
"Expectation(Derivative(y, Z0)/Derivative(v0, Z0))\n",
|
||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z0,Z1)\n",
|
||||
"Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→v0, then ¬(Z0,Z1→y)\n",
|
||||
"Expectation(Derivative(y, Z1)/Derivative(v0, Z1))\n",
|
||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z1,Z0)\n",
|
||||
"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v0, then ¬(Z1,Z0→y)\n",
|
||||
"\n",
|
||||
"## Realized estimand\n",
|
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"Realized estimand: Wald Estimator\n",
|
||||
"Realized estimand type: ate\n",
|
||||
"Estimand expression:\n",
|
||||
" -1\n",
|
||||
"Expectation(Derivative(y, Z0))⋅Expectation(Derivative(v0, Z0)) \n",
|
||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z0,Z1)\n",
|
||||
"Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→v0, then ¬(Z0,Z1→y)\n",
|
||||
"Expectation(Derivative(y, Z1))⋅Expectation(Derivative(v0, Z1)) \n",
|
||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z1,Z0)\n",
|
||||
"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v0, then ¬(Z1,Z0→y)\n",
|
||||
"Estimand assumption 3, treatment_effect_homogeneity: Each unit's treatment ['v0'] isaffected in the same way by common causes of ['v0'] and y\n",
|
||||
"Estimand assumption 4, outcome_effect_homogeneity: Each unit's outcome y isaffected in the same way by common causes of ['v0'] and y\n",
|
||||
"\n",
|
||||
"## Estimate\n",
|
||||
"Value: 9.55482869339338\n",
|
||||
"Value: 7.758247503107021\n",
|
||||
"\n",
|
||||
"Causal Estimate is 9.55482869339338\n"
|
||||
"Causal Estimate is 7.758247503107021\n"
|
||||
]
|
||||
}
|
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],
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@ -579,9 +579,9 @@
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"Realized estimand type: ate\n",
|
||||
"Estimand expression:\n",
|
||||
" -1\n",
|
||||
"Expectation(Derivative(y, Z0))⋅Expectation(Derivative(v0, Z0)) \n",
|
||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z0,Z1)\n",
|
||||
"Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→v0, then ¬(Z0,Z1→y)\n",
|
||||
"Expectation(Derivative(y, Z1))⋅Expectation(Derivative(v0, Z1)) \n",
|
||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z1,Z0)\n",
|
||||
"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v0, then ¬(Z1,Z0→y)\n",
|
||||
"Estimand assumption 3, treatment_effect_homogeneity: Each unit's treatment ['local_treatment'] isaffected in the same way by common causes of ['local_treatment'] and local_outcome\n",
|
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"Estimand assumption 4, outcome_effect_homogeneity: Each unit's outcome local_outcome isaffected in the same way by common causes of ['local_treatment'] and local_outcome\n",
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"\n"
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@ -591,31 +591,6 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" v0\n",
|
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"0 True\n",
|
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"1 True\n",
|
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"2 False\n",
|
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"3 True\n",
|
||||
"4 True\n",
|
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"... ...\n",
|
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"9995 True\n",
|
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"9996 False\n",
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"9997 True\n",
|
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"9998 True\n",
|
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"9999 True\n",
|
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"\n",
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"[10000 rows x 1 columns] 7 True\n",
|
||||
"11 True\n",
|
||||
"12 True\n",
|
||||
"13 True\n",
|
||||
"16 True\n",
|
||||
" ... \n",
|
||||
"9985 True\n",
|
||||
"9988 True\n",
|
||||
"9991 True\n",
|
||||
"9998 True\n",
|
||||
"9999 True\n",
|
||||
"Name: v0, Length: 2027, dtype: bool\n",
|
||||
"*** Causal Estimate ***\n",
|
||||
"\n",
|
||||
"## Target estimand\n",
|
||||
|
|
@ -624,31 +599,31 @@
|
|||
"Estimand name: backdoor\n",
|
||||
"Estimand expression:\n",
|
||||
" d \n",
|
||||
"───(Expectation(y|W2,W1,W3,W0,W4))\n",
|
||||
"───(Expectation(y|W2,W4,W0,W3,W1))\n",
|
||||
"dv₀ \n",
|
||||
"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W1,W3,W0,W4,U) = P(y|v0,W2,W1,W3,W0,W4)\n",
|
||||
"Estimand assumption 1, Unconfoundedness: If U→v0 and U→y then P(y|v0,W2,W4,W0,W3,W1,U) = P(y|v0,W2,W4,W0,W3,W1)\n",
|
||||
"### Estimand : 2\n",
|
||||
"Estimand name: iv\n",
|
||||
"Estimand expression:\n",
|
||||
"Expectation(Derivative(y, Z0)/Derivative(v0, Z0))\n",
|
||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z0,Z1)\n",
|
||||
"Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→v0, then ¬(Z0,Z1→y)\n",
|
||||
"Expectation(Derivative(y, Z1)/Derivative(v0, Z1))\n",
|
||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z1,Z0)\n",
|
||||
"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v0, then ¬(Z1,Z0→y)\n",
|
||||
"\n",
|
||||
"## Realized estimand\n",
|
||||
"Realized estimand: Wald Estimator\n",
|
||||
"Realized estimand type: ate\n",
|
||||
"Estimand expression:\n",
|
||||
" -1\n",
|
||||
"Expectation(Derivative(y, Z0))⋅Expectation(Derivative(v0, Z0)) \n",
|
||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z0,Z1)\n",
|
||||
"Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→v0, then ¬(Z0,Z1→y)\n",
|
||||
"Expectation(Derivative(y, Z1))⋅Expectation(Derivative(v0, Z1)) \n",
|
||||
"Estimand assumption 1, As-if-random: If U→→y then ¬(U →→Z1,Z0)\n",
|
||||
"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v0, then ¬(Z1,Z0→y)\n",
|
||||
"Estimand assumption 3, treatment_effect_homogeneity: Each unit's treatment ['local_treatment'] isaffected in the same way by common causes of ['local_treatment'] and local_outcome\n",
|
||||
"Estimand assumption 4, outcome_effect_homogeneity: Each unit's outcome local_outcome isaffected in the same way by common causes of ['local_treatment'] and local_outcome\n",
|
||||
"\n",
|
||||
"## Estimate\n",
|
||||
"Value: -41.06170465610914\n",
|
||||
"Value: -48.97868379208166\n",
|
||||
"\n",
|
||||
"Causal Estimate is -41.06170465610914\n"
|
||||
"Causal Estimate is -48.97868379208166\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
|
|
|||
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