Hi, I got an error message in python coding in the lesson of 'SQL + TABLUEA + PYTHON' under the section 'Training and Evaluating model" Can you give any solution. code : reg.fit(x_train,y_train) error message: --------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-38-ae4bf08b45bb> in <module> ----> 1 reg.fit(x_train,y_train) ~\anaconda3\lib\site-packages\sklearn\linear_model\_logistic.py in fit(self, X, y, sample_weight) 1525 1526 X, y = check_X_y(X, y, accept_sparse='csr', dtype=_dtype, order="C", -> 1527 accept_large_sparse=solver != 'liblinear') 1528 check_classification_targets(y) 1529 self.classes_ = np.unique(y) ~\anaconda3\lib\site-packages\sklearn\utils\validation.py in check_X_y(X, y, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, warn_on_dtype, estimator) 753 ensure_min_features=ensure_min_features, 754 warn_on_dtype=warn_on_dtype, --> 755 estimator=estimator) 756 if multi_output: 757 y = check_array(y, 'csr', force_all_finite=True, ensure_2d=False, ~\anaconda3\lib\site-packages\sklearn\utils\validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator) 576 if force_all_finite: 577 _assert_all_finite(array, --> 578 allow_nan=force_all_finite == 'allow-nan') 579 580 if ensure_min_samples > 0: ~\anaconda3\lib\site-packages\sklearn\utils\validation.py in _assert_all_finite(X, allow_nan, msg_dtype) 58 msg_err.format 59 (type_err, ---> 60 msg_dtype if msg_dtype is not None else X.dtype) 61 ) 62 # for object dtype data, we only check for NaNs (GH-13254) ValueError: Input contains NaN, infinity or a value too large for dtype('float64').

Hi Porage, It seems like your input contains values that are not numbers (probably they are strings). Could you please display x_train and share the result here? Best,The 365 Team

hi, here it is type of x_train is " numpy.ndarray" X_train:array([[-0.57735027, -0.09298136, -0.31448545, ..., -0.44798003, -0.91902997, -0.58968976], [-0.57735027, -0.09298136, 3.17979734, ..., 2.23224237, 0.88046927, -0.58968976], [ 1.73205081, -0.09298136, -0.31448545, ..., 2.23224237, -0.91902997, -0.58968976], ..., [-0.57735027, -0.09298136, -0.31448545, ..., -0.44798003, -0.91902997, -0.58968976], [-0.57735027, -0.09298136, -0.31448545, ..., -0.44798003, -0.01928035, 2.8430157 ], [-0.57735027, -0.09298136, -0.31448545, ..., -0.44798003, -0.91902997, -0.58968976]])Thanks in advanced

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Porage Dona Sasanka Madushika Alwis

Last answered:

May 08, 2020

Posted on:

May 05, 2020

error message in python coding

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365 Team

Posted on:

May 07, 2020

Porage Dona Sasanka Madushika Alwis

Posted on:

May 08, 2020

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