SYMBOL INDEX (36 symbols across 4 files) FILE: LinearRegression.py class LinReg (line 3) | class LinReg(object): method __init__ (line 7) | def __init__(self, learning_rate = 0.01, iterations = 50, verbose = Tr... method fit (line 27) | def fit(self, X, y): method predict (line 62) | def predict(self, X): function demo (line 82) | def demo(): FILE: LogisticClassifier.py class Logit (line 5) | class Logit(object): method __init__ (line 9) | def __init__(self, learning_rate = 0.01, iterations = 100, verbose = T... method sigmoid (line 29) | def sigmoid(self, x): method fit (line 38) | def fit(self, X, y): method predict (line 75) | def predict(self, X, labels): function demo (line 107) | def demo(): FILE: MultiLayerPerceptron.py function sigmoid (line 7) | def sigmoid(x): function dsigmoid (line 11) | def dsigmoid(y): function softmax (line 15) | def softmax(w): function tanh (line 21) | def tanh(x): function dtanh (line 25) | def dtanh(y): class MLP_Classifier (line 28) | class MLP_Classifier(object): method __init__ (line 41) | def __init__(self, input, hidden, output, iterations = 50, learning_ra... method feedForward (line 88) | def feedForward(self, inputs): method backPropagate (line 119) | def backPropagate(self, targets): method test (line 171) | def test(self, patterns): method fit (line 179) | def fit(self, patterns): method predict (line 208) | def predict(self, X): function demo (line 217) | def demo(): FILE: Old/BackPropagationNN.py function sigmoid (line 10) | def sigmoid(x): function dsigmoid (line 14) | def dsigmoid(y): function tanh (line 18) | def tanh(x): function dtanh (line 22) | def dtanh(y): class MLP_NeuralNetwork (line 25) | class MLP_NeuralNetwork(object): method __init__ (line 38) | def __init__(self, input, hidden, output, iterations, learning_rate, m... method feedForward (line 73) | def feedForward(self, inputs): method backPropagate (line 105) | def backPropagate(self, targets): method test (line 159) | def test(self, patterns): method train (line 167) | def train(self, patterns): method predict (line 185) | def predict(self, X): function demo (line 194) | def demo():