columns_with_strings(df) |
Method that ascertains which columns in data contain string entries |
flag_outliers(df, conf_not_input_features, …) |
Method that scans values in each X feature matrix column and flags values that are larger than 3 standard deviations from the average of that column value. |
imputation(df, strategy[, cols_to_leave_out]) |
Method that imputes values to the missing places based on the median, mean, etc. |
orth(A[, rcond]) |
Construct an orthonormal basis for the range of A using SVD |
ppca(df[, cols_to_leave_out]) |
Method that performs a recursive PCA routine to use PCA of known columns to fill in missing values in particular column |
remove(df, axis) |
Method that removes a full column or row of data values if one column or row contains NaN or is blank |
