Mohan Mohan1387

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Installation

We are going to install rust, clang and the latest redis, along with additional utilities described below.

	from keras.layers import Input, Dense, BatchNormalization
	from keras.models import Model
	from keras.callbacks import EarlyStopping

	# set input layer
	inputs = Input(shape=(X_train.shape[1],), name='input')

	# normalized the batches
	x = BatchNormalization(name='input_bn')(inputs)


	import lime
	import lime.lime_tabular

	import pandas as pd
	import numpy as np
	import lightgbm as lgb

	# For converting textual categories to integer labels
	from sklearn.preprocessing import LabelEncoder

	def apk(actual, predicted, k=3):
	"""
	Computes the average precision at k.
	This function computes the average prescision at k between two lists of
	items.
	Parameters
	----------
	actual : list
	A list of elements that are to be predicted (order doesn't matter)
	predicted : list

	# -- coding: utf-8 --
	"""
	Created on Thu Mar 17 00:50:16 2016

	@author: Bernard
	"""

	from pandas import Series, DataFrame
	import pandas as pd
	import numpy as np