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Forest::loadDataForPrediction #780

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20 changes: 20 additions & 0 deletions src/Forest.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -281,6 +281,26 @@ void Forest::init(std::unique_ptr<Data> input_data, uint mtry, std::string outpu
}
}

void Forest::loadDataForPrediction(std::unique_ptr<Data> input_data, std::vector<bool>& is_ordered_variable, bool predict_all) {
this->data = std::move(input_data);
this->prediction_mode = true;
this->predict_all = predict_all;

// Set number of samples and variables
num_samples = data->getNumRows();
num_independent_variables = data->getNumCols();

// Set unordered factor variables
data->setIsOrderedVariable(is_ordered_variable);

initInternal();

// Permute samples for corrected Gini importance
if (importance_mode == IMP_GINI_CORRECTED) {
data->permuteSampleIDs(random_number_generator);
}
}

void Forest::run(bool verbose, bool compute_oob_error) {

if (prediction_mode) {
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1 change: 1 addition & 0 deletions src/Forest.h
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Expand Up @@ -65,6 +65,7 @@ class Forest {
bool order_snps, uint max_depth, const std::vector<double>& regularization_factor, bool regularization_usedepth,
bool node_stats);
virtual void initInternal() = 0;
void loadDataForPrediction(std::unique_ptr<Data> input_data, std::vector<bool>& is_ordered_variable, bool predict_all = false);

// Grow or predict
void run(bool verbose, bool compute_oob_error);
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