Man pages for XanderHorn/lazy
Automated data pre-processing and machine learning
| apply.categorical.interaction.mappings | Applies categorical interacion mappins |
| apply.categorical.mappings | Applies categorical mappings |
| apply.freq.mappings | Applies frequency mappings |
| apply.impute.mappings | Applies imputation mappings |
| apply.kmeans.mappings | Applies kmeans feature mappings |
| apply.max.scale.mappings | Apply max scaler mappings |
| apply.numeric.interactions | Creates numeric interaction features |
| apply.outlier.mappings | Applies outlier mapping tables |
| automl | Automated machine learning |
| data.leak | Data leakage detection |
| date.features | Engineers date and time features |
| de.duplicate | De-duplicate dataframe |
| describe | Tabular exploratory data analysis |
| design.pipeline | Design a pipeline for data pre-processing |
| detect.feats | Detect feature types |
| document | Dynamic documentation for pipeline settings |
| eda | Automated exploratory data analysis |
| explore.pipelines | Machine learning pipeline optimization |
| feature.importance | Random forest feature importance |
| lazy.plot | Lazy ggplot plotting |
| lazy.predict | Preprocess and predict wrapper |
| make.pipeline.grid | Create pipeline grid for optimization |
| map.categorical.encoding | Categorical mapping tables |
| map.categorical.interactions | Maps categorical interaction combination frames |
| map.freq.encoding | Frequency encoding |
| map.impute | Imputation mappings |
| map.kmeans.features | Kmeans distance to center feature mappings |
| map.max.scaler | Maximum value scaler |
| map.numeric.interactions | Numeric feature interactions |
| map.outliers | Creates mapping tables for detecting outlier values in... |
| numeric.transformers | Numeric feature transformations |
| pre.process | Pre-processing of data |
| quick.format | Minor feature class changes |
| text.features | Creates engineered features from text features |
| time.partition | Create time sensitive partitions |
