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Make VS hail independent for the python API #237
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FEAT: Implemented RF class method for fitting the model FEAT: Implemented RF class method for obtaining importance analysis from a fitted RF FEAT: Implemented RF class method for returning oob error FEAT: Implemented RF class method for obtaining FDR from a fitted model FEAT: Implemented RF class method for exporting forest to JSON REFACTOR: Make RF model available at package level CHORE: Added type checking to all methods
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REFACTOR: Removed FeatureSource and ImportanceAnalysis classes from core REFACTOR: Added FeatureSource import so features can be returned as a class instantiation
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REFACTOR: Removed imp analysis and model training FEAT: Added conversion from feature to RDD (python) FEAT: Added conversion from feature to RDD (scala) CHORE: Added type checking
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due to import order warning (#237)
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separate wrapper file (#237) REFACTOR: Updated important_variables and variable_importance methods to convert to pandas DataFrames
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REFACTOR: Removed model training from object instantation and updated class to accept a model as a parameter REFACTOR: Added normalisation as an optional parameter for variable importance methods FEAT: Updated variableImportance method to include splitCount in return as it is required for local FDR analysis
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and passes back to python context (#237)
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from importAnalysis method of AnalyticsFunctions (#237)
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FIX: Update export function to process trees in batches, instead of collecting the whole forest as a map as this led to OOM errors on large forests
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REFACTOR: Refactor to mirror changes to python wrapper FEAT: Include FDR calculation in unit test
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FEAT: Implement function for manhattan plotting negative log p values
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FEAT: Add wrapper class for importing covariates FEAT: Add wrapper class for unioning features and covariates
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REFACTOR: Include covariate filtering in manhattan plot function STYLE: Format with black (#237)
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FEAT: Add functions for importing std and transposed CSVs FEAT: Add function for unioning features and covariates
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Reference changed to importTransposedCSV
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REFACTOR: Remove python component of converting Feature RDD to pandas FEAT: Add RDD slice to DF function
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REFACTOR: Remove conversion of whole RDD to DataFrame FEAT: Add function for slicing rows and columns and converting to DF
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* .bgz loader function implemented by Christina
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* Update python wrapper to include imputation strategy parameter * Update scala API to pass imputation strategy to VCFFeatureSource * Create functions to handle mode and zero imputation strategies * Added imputation strategy to test cases * Added imputation strategy to FeatureSource cli * Remove sparkPar from test cases due to changes in class signature * Updated DefVariantToFeatureConverterTest to use zeros imputation
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