TīmeklisBackdrop Prepare toy data Simple linear modeling Ridge regression Lasso regression Problem of co-linearity Backdrop I recently started using machine learning algorithms (namely lasso and ridge regression) to identify the genes that correlate with different clinical outcomes in cancer. Coming purely from a biology background, I needed to … TīmeklisFit Ridge regression model with cv. Parameters: X ndarray of shape (n_samples, n_features) Training data. If using GCV, will be cast to float64 if necessary. y ndarray of shape (n_samples,) or (n_samples, n_targets) Target values. Will be cast to X’s dtype if necessary. sample_weight float or ndarray of shape (n_samples,), default=None
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深入浅出说说ridge regression - 知乎 - 知乎专栏
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