update docstrings acc. to Refactor Data Generators #306

Author: JanTeichertKluge

doubleml/irm/iivm.py

@@ -80,7 +80,7 @@ class DoubleMLIIVM(LinearScoreMixin, DoubleML):
     --------
     >>> import numpy as np
     >>> import doubleml as dml
-    >>> from doubleml.datasets import make_iivm_data
+    >>> from doubleml.irm.datasets import make_iivm_data
     >>> from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier
     >>> np.random.seed(3141)
     >>> ml_g = RandomForestRegressor(n_estimators=100, max_features=20, max_depth=5, min_samples_leaf=2)

doubleml/irm/irm.py

@@ -84,7 +84,7 @@ class DoubleMLIRM(LinearScoreMixin, DoubleML):
     --------
     >>> import numpy as np
     >>> import doubleml as dml
-    >>> from doubleml.datasets import make_irm_data
+    >>> from doubleml.irm.datasets import make_irm_data
     >>> from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier
     >>> np.random.seed(3141)
     >>> ml_g = RandomForestRegressor(n_estimators=100, max_features=20, max_depth=5, min_samples_leaf=2)

doubleml/plm/pliv.py

@@ -62,7 +62,7 @@ class DoubleMLPLIV(LinearScoreMixin, DoubleML):
     --------
     >>> import numpy as np
     >>> import doubleml as dml
-    >>> from doubleml.datasets import make_pliv_CHS2015
+    >>> from doubleml.plm.datasets import make_pliv_CHS2015
     >>> from sklearn.ensemble import RandomForestRegressor
     >>> from sklearn.base import clone
     >>> np.random.seed(3141)

doubleml/plm/plr.py

@@ -60,7 +60,7 @@ class DoubleMLPLR(LinearScoreMixin, DoubleML):
     --------
     >>> import numpy as np
     >>> import doubleml as dml
-    >>> from doubleml.datasets import make_plr_CCDDHNR2018
+    >>> from doubleml.plm.datasets import make_plr_CCDDHNR2018
     >>> from sklearn.ensemble import RandomForestRegressor
     >>> from sklearn.base import clone
     >>> np.random.seed(3141)