updated requirements file
This commit is contained in:
Amit Sharma
Родитель
0cf2ce0dfd
Коммит
9860e4e178
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@ -92,12 +92,12 @@
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"outputs": [
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{
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"data": {
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"image/png": "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\n",
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"image/png": "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\n",
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"text/latex": [
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"$$1.6087742418164304$$"
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"$\\displaystyle 1.6279985748706296$"
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],
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"text/plain": [
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"1.6087742418164304"
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"1.6279985748706296"
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]
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},
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"execution_count": 3,
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@ -167,7 +167,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"WARN: Do you want to continue by ignoring these unobserved confounders? [y/n] yes\n"
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"WARN: Do you want to continue by ignoring these unobserved confounders? [y/n] y\n"
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]
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},
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{
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@ -206,7 +206,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"WARN: Do you want to continue by ignoring these unobserved confounders? [y/n] yes\n"
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"WARN: Do you want to continue by ignoring these unobserved confounders? [y/n] y\n"
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]
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},
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{
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@ -254,12 +254,12 @@
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"outputs": [
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{
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"data": {
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"image/png": "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\n",
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"image/png": "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\n",
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"text/latex": [
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"$$1.014368272187973$$"
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"$\\displaystyle 1.07933759656433$"
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],
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"text/plain": [
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"1.014368272187973"
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"1.07933759656433"
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]
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},
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"execution_count": 8,
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@ -302,7 +302,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.2"
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"version": "3.7.4"
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}
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},
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"nbformat": 4,
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@ -81,18 +81,18 @@
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"output_type": "stream",
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"text": [
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" Z0 Z1 X0 X1 X2 X3 X4 v \\\n",
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"0 0.0 0.695090 0.478725 -0.506298 1.505455 0.339212 -1.121508 0.0 \n",
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"1 1.0 0.700183 -0.207978 -0.724206 1.250477 -0.792156 -2.116102 0.0 \n",
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"2 0.0 0.699891 -1.253667 0.157712 1.538109 0.275229 -0.021714 1.0 \n",
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"3 0.0 0.718300 0.159832 0.995588 0.937482 0.500641 -1.042888 1.0 \n",
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"4 0.0 0.999750 0.979642 2.097794 2.272172 -0.807033 -4.033553 1.0 \n",
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"0 0.0 0.053555 -1.174258 -0.987573 0.395070 -0.160051 0.264335 0.0 \n",
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"1 0.0 0.832194 0.631449 0.642332 1.227220 -0.364481 1.425717 1.0 \n",
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"2 0.0 0.306234 -0.114428 0.201991 0.023685 0.953880 1.076977 1.0 \n",
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"3 0.0 0.416143 0.427830 1.266550 0.755916 1.557608 0.444620 1.0 \n",
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"4 0.0 0.652794 0.192758 0.532143 -0.683274 -0.571159 0.977457 1.0 \n",
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"\n",
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" y \n",
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"0 3.680029 \n",
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"1 -7.532851 \n",
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"2 11.826775 \n",
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"3 14.981646 \n",
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"4 11.146996 \n",
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"0 -4.636023 \n",
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"1 23.078269 \n",
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"2 18.155708 \n",
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"3 23.380629 \n",
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"4 12.891050 \n",
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"digraph { v ->y; U[label=\"Unobserved Confounders\"]; U->v; U->y;X0-> v; X1-> v; X2-> v; X3-> v; X4-> v;X0-> y; X1-> y; X2-> y; X3-> y; X4-> y;Z0-> v; Z1-> v;}\n",
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"\n",
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"\n",
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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:['X3', 'X4', 'X2', 'Unobserved Confounders', 'X1', 'X0']\n",
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"INFO:dowhy.causal_identifier:Common causes of treatment and outcome:['X4', 'X1', 'Unobserved Confounders', 'X0', 'X2', 'X3']\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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@ -258,9 +258,9 @@
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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|X3,X4,X2,X1,X0))\n",
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"──(Expectation(y|X4,X1,X0,X2,X3))\n",
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"dv \n",
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"Estimand assumption 1, Unconfoundedness: If U→v and U→y then P(y|v,X3,X4,X2,X1,X0,U) = P(y|v,X3,X4,X2,X1,X0)\n",
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"Estimand assumption 1, Unconfoundedness: If U→v and U→y then P(y|v,X4,X1,X0,X2,X3,U) = P(y|v,X4,X1,X0,X2,X3)\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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@ -292,7 +292,7 @@
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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:['X3', 'X4', 'X2', 'Unobserved Confounders', 'X1', 'X0']\n",
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"INFO:dowhy.causal_identifier:Common causes of treatment and outcome:['X4', 'X1', 'Unobserved Confounders', 'X0', 'X2', 'X3']\n",
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"INFO:dowhy.causal_identifier:All common causes are observed. Causal effect can be identified.\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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@ -306,9 +306,9 @@
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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|X3,X4,X2,X1,X0))\n",
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"──(Expectation(y|X4,X1,X0,X2,X3))\n",
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"dv \n",
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"Estimand assumption 1, Unconfoundedness: If U→v and U→y then P(y|v,X3,X4,X2,X1,X0,U) = P(y|v,X3,X4,X2,X1,X0)\n",
|
||||
"Estimand assumption 1, Unconfoundedness: If U→v and U→y then P(y|v,X4,X1,X0,X2,X3,U) = P(y|v,X4,X1,X0,X2,X3)\n",
|
||||
"### Estimand : 2\n",
|
||||
"Estimand name: iv\n",
|
||||
"Estimand expression:\n",
|
||||
|
|
@ -341,7 +341,7 @@
|
|||
"output_type": "stream",
|
||||
"text": [
|
||||
"INFO:dowhy.causal_estimator:INFO: Using Linear Regression Estimator\n",
|
||||
"INFO:dowhy.causal_estimator:b: y~v+X3+X4+X2+X1+X0\n"
|
||||
"INFO:dowhy.causal_estimator:b: y~v+X4+X1+X0+X2+X3\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
@ -356,9 +356,9 @@
|
|||
"Estimand name: backdoor\n",
|
||||
"Estimand expression:\n",
|
||||
"d \n",
|
||||
"──(Expectation(y|X3,X4,X2,X1,X0))\n",
|
||||
"──(Expectation(y|X4,X1,X0,X2,X3))\n",
|
||||
"dv \n",
|
||||
"Estimand assumption 1, Unconfoundedness: If U→v and U→y then P(y|v,X3,X4,X2,X1,X0,U) = P(y|v,X3,X4,X2,X1,X0)\n",
|
||||
"Estimand assumption 1, Unconfoundedness: If U→v and U→y then P(y|v,X4,X1,X0,X2,X3,U) = P(y|v,X4,X1,X0,X2,X3)\n",
|
||||
"### Estimand : 2\n",
|
||||
"Estimand name: iv\n",
|
||||
"Estimand expression:\n",
|
||||
|
|
@ -367,11 +367,11 @@
|
|||
"Estimand assumption 2, Exclusion: If we remove {Z1,Z0}→v, then ¬(Z1,Z0→y)\n",
|
||||
"\n",
|
||||
"## Realized estimand\n",
|
||||
"b: y~v+X3+X4+X2+X1+X0\n",
|
||||
"b: y~v+X4+X1+X0+X2+X3\n",
|
||||
"## Estimate\n",
|
||||
"Value: 10.000000000000412\n",
|
||||
"Value: 9.9999999999994\n",
|
||||
"\n",
|
||||
"Causal Estimate is 10.000000000000412\n"
|
||||
"Causal Estimate is 9.9999999999994\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
|
@ -471,7 +471,7 @@
|
|||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"INFO:dowhy.causal_identifier:Common causes of treatment and outcome:['X3', 'X4', 'X2', 'X1', 'U', 'X0']\n",
|
||||
"INFO:dowhy.causal_identifier:Common causes of treatment and outcome:['U', 'X4', 'X1', 'X0', 'X2', 'X3']\n",
|
||||
"WARNING:dowhy.causal_identifier:There are unobserved common causes. Causal effect cannot be identified.\n"
|
||||
]
|
||||
},
|
||||
|
|
@ -503,7 +503,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 14,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
|
@ -511,16 +511,40 @@
|
|||
"output_type": "stream",
|
||||
"text": [
|
||||
"INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
|
||||
"INFO:dowhy.causal_estimator:b: y~v+X3+X4+X2+X1+X0\n"
|
||||
"INFO:dowhy.causal_estimator:b: y~v+X4+X1+X0+X2+X3\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"*** Causal Estimate ***\n",
|
||||
"\n",
|
||||
"## Target estimand\n",
|
||||
"Estimand type: ate\n",
|
||||
"### Estimand : 1\n",
|
||||
"Estimand name: backdoor\n",
|
||||
"Estimand expression:\n",
|
||||
"d \n",
|
||||
"──(Expectation(y|X4,X1,X0,X2,X3))\n",
|
||||
"dv \n",
|
||||
"Estimand assumption 1, Unconfoundedness: If U→v and U→y then P(y|v,X4,X1,X0,X2,X3,U) = P(y|v,X4,X1,X0,X2,X3)\n",
|
||||
"### Estimand : 2\n",
|
||||
"Estimand name: iv\n",
|
||||
"No such variable found!\n",
|
||||
"\n",
|
||||
"## Realized estimand\n",
|
||||
"b: y~v+X4+X1+X0+X2+X3\n",
|
||||
"## Estimate\n",
|
||||
"Value: 12.4138990048773\n",
|
||||
"\n",
|
||||
"Causal Estimate is 12.4138990048773\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"estimate = model.estimate_effect(identified_estimand,\n",
|
||||
" method_name=\"backdoor.propensity_score_matching\", \n",
|
||||
" test_significance=True,\n",
|
||||
" method_params={'num_simulations':100}\n",
|
||||
" ) \n",
|
||||
" method_name=\"backdoor.propensity_score_matching\") \n",
|
||||
"print(estimate)\n",
|
||||
"print(\"Causal Estimate is \" + str(estimate.value))"
|
||||
]
|
||||
|
|
@ -551,7 +575,7 @@
|
|||
"output_type": "stream",
|
||||
"text": [
|
||||
"INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
|
||||
"INFO:dowhy.causal_estimator:b: y~v+X3+X4+X2+X1+X0+w_random\n"
|
||||
"INFO:dowhy.causal_estimator:b: y~v+X4+X1+X0+X2+X3+w_random\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
@ -559,8 +583,8 @@
|
|||
"output_type": "stream",
|
||||
"text": [
|
||||
"Refute: Add a Random Common Cause\n",
|
||||
"Estimated effect:(10.908522924630901,)\n",
|
||||
"New effect:(11.054066132710718,)\n",
|
||||
"Estimated effect:(12.4138990048773,)\n",
|
||||
"New effect:(12.427568331323032,)\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
|
|
@ -587,7 +611,7 @@
|
|||
"output_type": "stream",
|
||||
"text": [
|
||||
"INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
|
||||
"INFO:dowhy.causal_estimator:b: y~placebo+X3+X4+X2+X1+X0\n"
|
||||
"INFO:dowhy.causal_estimator:b: y~placebo+X4+X1+X0+X2+X3\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
@ -595,8 +619,8 @@
|
|||
"output_type": "stream",
|
||||
"text": [
|
||||
"Refute: Use a Placebo Treatment\n",
|
||||
"Estimated effect:(10.908522924630901,)\n",
|
||||
"New effect:(-0.0869775211863151,)\n",
|
||||
"Estimated effect:(12.4138990048773,)\n",
|
||||
"New effect:(-0.025198898772462442,)\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
|
|
@ -624,7 +648,7 @@
|
|||
"output_type": "stream",
|
||||
"text": [
|
||||
"INFO:dowhy.causal_estimator:INFO: Using Propensity Score Matching Estimator\n",
|
||||
"INFO:dowhy.causal_estimator:b: y~v+X3+X4+X2+X1+X0\n"
|
||||
"INFO:dowhy.causal_estimator:b: y~v+X4+X1+X0+X2+X3\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
@ -632,8 +656,8 @@
|
|||
"output_type": "stream",
|
||||
"text": [
|
||||
"Refute: Use a subset of data\n",
|
||||
"Estimated effect:(10.908522924630901,)\n",
|
||||
"New effect:(10.94176751611995,)\n",
|
||||
"Estimated effect:(12.4138990048773,)\n",
|
||||
"New effect:(12.379545785678552,)\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,8 +1,8 @@
|
|||
numpy
|
||||
numpy>=1.15
|
||||
scipy
|
||||
pandas
|
||||
networkx
|
||||
matplotlib
|
||||
sympy
|
||||
networkx>=2.0
|
||||
matplotlib>=3.1
|
||||
sympy>=1.4
|
||||
scikit-learn
|
||||
pydot
|
||||
pydot>=1.4
|
||||
|
|
|
|||
Загрузка…
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