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models.py

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Biame

Executable File $-386$ lines $(302$loc $)*13\mathrm{.}2KB$

import nn

class PerceptronModel$($object$)$:

def $($self$,$ dimensions$)$:

Initialize a new Perceptron instance.

A perceptron classifies data points as either belonging to a particular class $(+1)$ or not $(-1).$ "dimensions" is the dinensionatity of the data. For example, dimensions $=2$ would mean that the perceptron must classify $2$D points.

$"..."$

self.w $=$ nn$,$ Parameter$(1,$ dimensions$)$

def get$\_$weights$($self$)$:

n$!"$

Return a Parameter instance with the current weights of the perceptron.

$"...$

return self.w

def run$(self,x)$ :

$"...$

Calculates the score assigned by the perceptron to a data point $x.$

Inputs:

x: a node with shape $(1$ dimensions$)$

Returns: a node containing a single number $($the score$)$

$"$n$.$

$"***$ YOUR CODE HERE $***"$