Created
October 17, 2018 15:37
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class RandomForest(): | |
def __init__(self, x, y, n_trees, sample_sz, min_leaf=5, depth = 10): | |
np.random.seed(42) | |
self.x, self.y, self.sample_sz, self.min_leaf, self.depth = x, y, sample_sz, min_leaf, depth | |
self.trees = [self.create_tree() for i in range(n_trees)] | |
def create_tree(self): | |
rnd_idxs = np.random.permutation(len(self.y))[:self.sample_sz] #bagging | |
return DecisionTree(self.x.iloc[rnd_idxs], self.y[rnd_idxs], min_leaf=self.min_leaf, depth = 10) | |
def predict(self, x): | |
return np.mean([t.predict(x) for t in self.trees], axis=0) |
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