Kevin Liao KevinLiao159

Data Scientist / Machine Learning Engineer

KevinLiao159 / make_recommendations_knn.py

Last active November 5, 2018 06:20

The "make_recommendations" method from my KNN recommender

	def make_recommendations(self, fav_movie, n_recommendations):
	"""
	make top n movie recommendations
	Parameters
	----------
	fav_movie: str, name of user input movie
	n_recommendations: int, top n recommendations
	"""
	# get data
	movie_user_mat_sparse, hashmap = self._prep_data()

KevinLiao159 / make_recommendations_als.py

Created November 11, 2018 01:37

The "make_recommendations" method from my ALS recommender

	def make_recommendations(self, fav_movie, n_recommendations):
	"""
	make top n movie recommendations
	Parameters
	----------
	fav_movie: str, name of user input movie
	n_recommendations: int, top n recommendations
	"""
	# get data
	movie_user_mat_sparse, hashmap = self._prep_data()

KevinLiao159 / tune_als.py

Created November 11, 2018 02:08

A function for ALS hyper-param tuning

	from pyspark.ml.recommendation import ALS


	def tune_ALS(train_data, validation_data, maxIter, regParams, ranks):
	"""
	grid search function to select the best model based on RMSE of
	validation data

	Parameters
	----------