}
experimenter = Experimenter()
experimenter.config_gpu()
experimenter.addSamplingApproach(Cosine)
experimenter.addSamplingApproach(TF_IDF)
experimenter.addSamplingApproach(ARM)
experimenter.addSamplingApproach(Random)
experimenter.addMaxRejection(TotalLimit)
experimenter.addMaxRejection(UniqueLimit)
experimenter.addMaxRejection(Q3Total)
experimenter.addMaxRejection(Q3Unique)
experimenter.setModel(NeuMF)
experimenter.setParameterFiles(files)
experimenter.execute()
"""
learning_rate = [0.001,0.005,0.0001,0.0005]
latent_factors = [10,20,30,40,50]
for l_r in learning_rate:
for factors in latent_factors:
files = {}
files["ciaodvd-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.0,"batch_size": 256,"num_factor": factors}
files["movietweetings-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.0,"batch_size": 256,"num_factor": factors}
files["ml-100k-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.0,"batch_size": 256,"num_factor": factors}
experimenter.setModel(NeuMF)
experimenter.setParameterFiles(files)
experimenter.execute()
}
experimenter = Experimenter()
experimenter.config_gpu()
experimenter.addSamplingApproach(Cosine)
experimenter.addSamplingApproach(TF_IDF)
experimenter.addSamplingApproach(ARM)
experimenter.addSamplingApproach(Random)
experimenter.addMaxRejection(TotalLimit)
experimenter.addMaxRejection(UniqueLimit)
experimenter.addMaxRejection(Q3Total)
experimenter.addMaxRejection(Q3Unique)
experimenter.setModel(BPRMF)
experimenter.setParameterFiles(files)
experimenter.execute()
"""
learning_rate = [0.001,0.005,0.0001,0.0005]
latent_factors = [10,20,30,40,50]
for l_r in learning_rate:
for factors in latent_factors:
files = {}
files["ciaodvd-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.01,"batch_size": 256,"num_factor": factors}
files["movietweetings-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.01,"batch_size": 256,"num_factor": factors}
files["ml-100k-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.01,"batch_size": 256,"num_factor": factors}
experimenter.setModel(BPRMF)
experimenter.setParameterFiles(files)
}
experimenter = Experimenter()
experimenter.config_gpu()
experimenter.addSamplingApproach(Cosine)
experimenter.addSamplingApproach(TF_IDF)
experimenter.addSamplingApproach(ARM)
experimenter.addSamplingApproach(Random)
experimenter.addMaxRejection(TotalLimit)
experimenter.addMaxRejection(UniqueLimit)
experimenter.addMaxRejection(Q3Total)
experimenter.addMaxRejection(Q3Unique)
experimenter.setModel(MLP)
experimenter.setParameterFiles(files)
experimenter.execute()
"""
learning_rate = [0.001,0.005,0.0001,0.0005]
latent_factors = [10,20,30,40,50]
for l_r in learning_rate:
for factors in latent_factors:
files = {}
files["ciaodvd-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.0,"batch_size": 256,"num_factor": factors}
files["movietweetings-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.0,"batch_size": 256,"num_factor": factors}
files["ml-100k-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.0,"batch_size": 256,"num_factor": factors}
experimenter.setModel(MLP)
experimenter.setParameterFiles(files)
experimenter.execute()"""
}
experimenter = Experimenter()
experimenter.config_gpu()
experimenter.addSamplingApproach(Cosine)
experimenter.addSamplingApproach(TF_IDF)
experimenter.addSamplingApproach(ARM)
experimenter.addSamplingApproach(Random)
experimenter.addMaxRejection(TotalLimit)
experimenter.addMaxRejection(UniqueLimit)
experimenter.addMaxRejection(Q3Total)
experimenter.addMaxRejection(Q3Unique)
experimenter.setModel(GMF)
experimenter.setParameterFiles(files)
experimenter.execute()
"""
learning_rate = [0.001,0.005,0.0001,0.0005]
latent_factors = [10,20,30,40,50]
for l_r in learning_rate:
for factors in latent_factors:
files = {}
files["ciaodvd-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.0,"batch_size": 256,"num_factor": factors}
files["movietweetings-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.0,"batch_size": 256,"num_factor": factors}
files["ml-100k-gte.csv"] = {"learning_rate": l_r,"reg_rate": 0.0,"batch_size": 256,"num_factor": factors}
experimenter.setModel(GMF)
experimenter.setParameterFiles(files)
experimenter.execute()"""
