Spaces:

---

shorthillstech

/

pybanking_value_prediction

like 0

Runtime error

• "sklearn.tree._tree.Tree",
• "numpy.core.multiarray._reconstruct",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy.core.multiarray.scalar"

How to fix it?

• "numpy.core.multiarray.scalar",
• "numpy.dtype",
• "collections.defaultdict",
• "lightgbm.basic.Booster",
• "collections.OrderedDict"

How to fix it?

• "sklearn.linear_model._coordinate_descent.Lasso",
• "numpy.dtype",
• "numpy.core.multiarray.scalar",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct"

How to fix it?

• "numpy.dtype",
• "numpy.ndarray",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy.core.multiarray._reconstruct"

How to fix it?

• "numpy.core.multiarray.scalar",
• "numpy.dtype",
• "numpy.ndarray",
• "numpy.random._pickle.__randomstate_ctor",
• "sklearn.preprocessing._label.LabelBinarizer",
• "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
• "sklearn.neural_network._stochastic_optimizers.AdamOptimizer",
• "numpy.core.multiarray._reconstruct"

How to fix it?

• "numpy.dtype",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "numpy.ndarray",
• "sklearn.tree._tree.Tree",
• "numpy.random._pickle.__randomstate_ctor",
• "sklearn.dummy.DummyRegressor",
• "sklearn.ensemble._gb.GradientBoostingRegressor",
• "sklearn.ensemble._gb_losses.LeastSquaresError",
• "numpy.core.multiarray._reconstruct"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.tree._tree.Tree",
• "numpy.core.multiarray.scalar",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?

• "numpy.core.multiarray.scalar",
• "numpy.dtype",
• "numpy.ndarray",
• "sklearn.svm._classes.SVR",
• "numpy.core.multiarray._reconstruct"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "sklearn.svm._classes.SVR"

How to fix it?