Created
October 22, 2018 12:28
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class RandomForest(): | |
def __init__(self, x, y, n_trees, n_features, sample_sz, depth=10, min_leaf=5): | |
np.random.seed(12) | |
if n_features == 'sqrt': | |
self.n_features = int(np.sqrt(x.shape[1])) | |
elif n_features == 'log2': | |
self.n_features = int(np.log2(x.shape[1])) | |
else: | |
self.n_features = n_features | |
print(self.n_features, "sha: ",x.shape[1]) | |
self.x, self.y, self.sample_sz, self.depth, self.min_leaf = x, y, sample_sz, depth, min_leaf | |
self.trees = [self.create_tree() for i in range(n_trees)] | |
def create_tree(self): | |
idxs = np.random.permutation(len(self.y))[:self.sample_sz] | |
f_idxs = np.random.permutation(self.x.shape[1])[:self.n_features] | |
return DecisionTree(self.x.iloc[idxs], self.y[idxs], self.n_features, f_idxs, | |
idxs=np.array(range(self.sample_sz)),depth = self.depth, min_leaf=self.min_leaf) | |
def predict(self, x): | |
return np.mean([t.predict(x) for t in self.trees], axis=0) | |
def std_agg(cnt, s1, s2): return math.sqrt((s2/cnt) - (s1/cnt)**2) |
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excuse me sir, where is the main class ?
Thanks sir