dfFloatRow retrieves a slice of float values from a DataFrame at the given index and for the given column names.

convertToBinary utilizes built in golearn functionality to convert our labels to a binary label format.

sigmoid implements the sigmoid function for use in activation functions.

sumAlongAxis sums a matrix along a particular dimension, preserving the other dimension.

sumAlongAxis sums a matrix along a particular dimension, preserving the other dimension.

withinClusterMean calculates the mean distance between points in a cluster and the centroid of the cluster.

Predict makes a prediction based on input JSON.

acf calculates the autocorrelation for a series at the given lag.

acf calculates the autocorrelation for a series at the given lag.

acf calculates the autocorrelation for a series at the given lag.

autoregressive calculates an AR model for a series at a given order.

The inception model takes as input the image described by a Tensor in a very specific normalized format (a particular image size, shape of the input t

logistic implements the logistic function, which is used in logistic regression.

logistic implements the logistic function, which is used in logistic regression.

logistic implements the logistic function, which is used in logistic regression.

logisticRegression fits a logistic regression model for the given data.

Convert the image in filename to a Tensor suitable as input to the Inception model.

NewNetwork initializes a new neural network.

NewNetwork initializes a new neural network.

pacf calculates the partial autocorrelation for a series at the given lag.

pacf calculates the partial autocorrelation for a series at the given lag.

pacf calculates the partial autocorrelation for a series at the given lag.

predict uses our trained regression model to made a prediction based on a TV, Radio, and Newspaper value.

predict uses our trained regression model to made a prediction.

predict makes a prediction based on our trained logistic regression model.

predict makes a prediction based on a trained neural network.

sigmoid implements the sigmoid function for use in activation functions.

sigmoidPrime implements the derivative of the sigmoid function for backpropagation.

sigmoidPrime implements the derivative of the sigmoid function for backpropagation.

train trains a neural network using backpropagation.

Train trains a neural network using backpropagation.