Web Reference: Jul 9, 2015 · For the record and +1 for @Owen, check your input data and make sure you do not have any missing value in any row or grid. You can use the Imputer class to avoid this problem. Scikit-Learn, a popular Python library for machine learning, will raise an error when it encounters these issues. One common error you might see is: "Input contains NaN, infinity or a value too large for dtype ('float64')." May 22, 2025 · What Causes This Error? The error appears when using machine learning libraries like scikit-learn. It happens when input arrays have different lengths. For example, your feature matrix and target variable might have mismatched dimensions. The fit () method requires consistent sample sizes.
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