class Global:
batch_size = 256
epochs = 100
group_size = 100_000
plot_losses = PlotLearning("nlp_nn_sentiment_count")
facebookDb = FacebookDataDatabase()
regularizer_function = None
class Static:
facebookDb = FacebookDataDatabase()
metric_getter = facebookDb.getShareCount # Set this to change the model type
group_size = 6000
limit = 7000
plot_losses = PlotLearning("combined_keras_model")
batch_size = 1
epochs = 20
class Static:
facebookDb = FacebookDataDatabase()
metric_getter = facebookDb.getCommentCount # Set this to change the model type
limit = 80_000 # len(os.listdir("../Image_CNN/images"))
group_size = limit
plot_losses = PlotLearning("combined_keras_model_comment_count")
batch_size = 512
epochs = 100
class Static:
facebookDb = FacebookDataDatabase()
metric_getter = facebookDb.getShareCount # Set this to change the model type
limit = len(os.listdir("../Image_CNN/images"))
group_size = limit
plot_losses = PlotLearning("combined_keras_model")
batch_size = 1
epochs = 20
class Global:
batch_size = 256
epochs = 100
group_size = 100_000
plot_losses = PlotLearning("nlp_nn_comment_count")
facebookDb = FacebookDataDatabase()
metric_getter = facebookDb.getCommentCount
metric_name = "commentCount"
regularizer_function = None
class Global:
batch_size = 1
epochs = 5
group_size = 6000
plot_losses = PlotLearning("nlp_nn")
facebookDb = FacebookDataDatabase()
metric_getter = facebookDb.getSentiment
metric_name = None
regularizer_function = None
class Global():
batch_size = 128
epochs = 2
plot_losses = PlotLearning("conv_base_image_cnn_share_count")
class Global():
batch_size = 1
epochs = 3
plot_losses = PlotLearning("image_cnn")
class Global:
batch_size = 16
epochs = 5
group_size = None
plot_losses = PlotLearning("nlp_nn")
class Static:
facebookDb = FacebookDataDatabase()
metric_getter = facebookDb.getCommentCount # Set this to change the model type
group_size = 10000
limit = 10000
plot_losses = PlotLearning("combined_keras_model")