Python PlotLearning示例

示例#1

class Global:
    batch_size = 256
    epochs = 100
    group_size = 100_000
    plot_losses = PlotLearning("nlp_nn_sentiment_count")
    facebookDb = FacebookDataDatabase()
    regularizer_function = None

示例#2

文件： ScoreCombinedKerasModel-checkpoint.py 项目： cpluspluscrowe/Masters_Thesis

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

示例#3

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

示例#4

文件： ScoreCombinedKerasModel_ShareCount.py 项目： cpluspluscrowe/Masters_Thesis

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

示例#5

文件： NLP_nn_comment_count.py 项目： cpluspluscrowe/Masters_Thesis

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

示例#6

文件： NLP_nn_sentiment.py 项目： cpluspluscrowe/Masters_Thesis

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

示例#7

class Global():
    batch_size = 128
    epochs = 2
    plot_losses = PlotLearning("conv_base_image_cnn_share_count")

示例#8

class Global():
    batch_size = 1
    epochs = 3
    plot_losses = PlotLearning("image_cnn")

示例#9

class Global:
    batch_size = 16
    epochs = 5
    group_size = None
    plot_losses = PlotLearning("nlp_nn")

示例#10

文件： Plot_Predictions_vs_reality_comment_count.py 项目： cpluspluscrowe/Masters_Thesis

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")