Man pages for akunuriYoshitha/CatEncode
| BestCatEncode | Detects categorical variables in a given dataset and encodes... |
| binary_encoding | Binary Encoding |
| CatEncodeFit | A fit function to detect categorical data and encode the data... |
| encode_binary | Binary Encoding - Supporting Function |
| encode_binary_fit | A fit function to encode categorical data |
| encode_bwd_diff | Contrast Encoding using Backward Difference Coding |
| encode_deviation | Contrast Encoding using Deviation Coding |
| encode_dummy | Contrast Encoding using Dummy Coding |
| encode_freq | Frequency Encoding |
| encode_fwd_diff | Contrast Encoding using Forward Difference Coding |
| encode_generic_fit | A fit function to encode categorical data |
| encode_hash | Hashing Encoding |
| encode_helmert | Contrast Encoding using Helmert Coding |
| encode_james_stein | James Stein Encoding |
| encode_label | Label/Integer Encoding |
| encode_leave_one_out | Leave One Out Encoding |
| encode_m_estimator | M-Estimator Encoding |
| encode_onehot | One-Hot Encoding |
| encode_onehot_fit | A fit function to encode categorical data |
| encode_poly | Contrast Encoding using Polynomial Coding |
| encode_prob_ratio | Probability Ratio Encoding |
| encode_rev_helmert | Contrast Encoding using Reverse Helmert Coding |
| encode_simple | Contrast Encoding using Simple Coding |
| encode_target | Mean Target Encoding |
| encode_woe | Weight Of Evidence Encoding |
| hello | Hello, World! |
