Man pages for syberia/syberiaMungebits2
syberiaMungebits2 (http://github.com/syberia/syberiaMungebits2)
| discretizer | Discretizer function |
| drop_percent_missing | Drop columns with over a certain percent missing. |
| drop_single_value_variables | Drop features with only one non-NA value. |
| drop_variables | Drop variables. |
| imputer | Impute a column by mean |
| is.mungebit_generator | Whether or not a function is a mungebit generator. |
| mungebit_generators | All mungebit generators exported by the syberiaMungebits2... |
| mungebit_template | Create a mungebit template from an expression. |
| new_variable | Creates a new variable in the dataframe. |
| numeric_to_factor | numeric to factor helper function |
| orderer | Order a dataframe by a column |
| remove_outliers | remove outliers based upon a z_score threshold z_score=> (x -... |
| renamer | Rename columns in a dataframe |
| replace_variable | Replaces a variable in the dataframe. |
| restore_categorical_variables | Restores categorical variables, allowing you to predict. |
| select_rows | Select rows in a dataframe. |
| select_variables | Select variables in a dataframe. |
| syberiaMungebits2 | Common feature engineering preparation using mungebits2. |
| truncator | Constrain a numeric column to the range [min,max] of the... |
| trunc.dig | i.e trunc.dig(5.732 , digits = 1) => 5.7 |
| value_replacer | Replace arbitrary values in your data |
