# This file was generated by PredictMD version 0.32.0, code name Cephalosporin
# For help, please visit https://predictmd.net

import PredictMDExtra
PredictMDExtra.import_all()

import PredictMD
PredictMD.import_all()



### Begin project-specific settings

DIRECTORY_CONTAINING_THIS_FILE = @__DIR__
PROJECT_DIRECTORY = dirname(
    joinpath(splitpath(DIRECTORY_CONTAINING_THIS_FILE)...)
    )
PROJECT_OUTPUT_DIRECTORY = joinpath(
    PROJECT_DIRECTORY,
    "output",
    )
mkpath(PROJECT_OUTPUT_DIRECTORY)
mkpath(joinpath(PROJECT_OUTPUT_DIRECTORY, "data"))
mkpath(joinpath(PROJECT_OUTPUT_DIRECTORY, "models"))
mkpath(joinpath(PROJECT_OUTPUT_DIRECTORY, "plots"))



### End project-specific settings

### Begin model output code

Random.seed!(999)

trainingandtuning_features_df_filename = joinpath(
    PROJECT_OUTPUT_DIRECTORY,
    "data",
    "trainingandtuning_features_df.csv",
    )
trainingandtuning_labels_df_filename = joinpath(
    PROJECT_OUTPUT_DIRECTORY,
    "data",
    "trainingandtuning_labels_df.csv",
    )
testing_features_df_filename = joinpath(
    PROJECT_OUTPUT_DIRECTORY,
    "data",
    "testing_features_df.csv",
    )
testing_labels_df_filename = joinpath(
    PROJECT_OUTPUT_DIRECTORY,
    "data",
    "testing_labels_df.csv",
    )
training_features_df_filename = joinpath(
    PROJECT_OUTPUT_DIRECTORY,
    "data",
    "training_features_df.csv",
    )
training_labels_df_filename = joinpath(
    PROJECT_OUTPUT_DIRECTORY,
    "data",
    "training_labels_df.csv",
    )
tuning_features_df_filename = joinpath(
    PROJECT_OUTPUT_DIRECTORY,
    "data",
    "tuning_features_df.csv",
    )
tuning_labels_df_filename = joinpath(
    PROJECT_OUTPUT_DIRECTORY,
    "data",
    "tuning_labels_df.csv",
    )
trainingandtuning_features_df = DataFrames.DataFrame(
    FileIO.load(
        trainingandtuning_features_df_filename;
        type_detect_rows = 100,
        )
    )
trainingandtuning_labels_df = DataFrames.DataFrame(
    FileIO.load(
        trainingandtuning_labels_df_filename;
        type_detect_rows = 100,
        )
    )
testing_features_df = DataFrames.DataFrame(
    FileIO.load(
        testing_features_df_filename;
        type_detect_rows = 100,
        )
    )
testing_labels_df = DataFrames.DataFrame(
    FileIO.load(
        testing_labels_df_filename;
        type_detect_rows = 100,
        )
    )
training_features_df = DataFrames.DataFrame(
    FileIO.load(
        training_features_df_filename;
        type_detect_rows = 100,
        )
    )
training_labels_df = DataFrames.DataFrame(
    FileIO.load(
        training_labels_df_filename;
        type_detect_rows = 100,
        )
    )
tuning_features_df = DataFrames.DataFrame(
    FileIO.load(
        tuning_features_df_filename;
        type_detect_rows = 100,
        )
    )
tuning_labels_df = DataFrames.DataFrame(
    FileIO.load(
        tuning_labels_df_filename;
        type_detect_rows = 100,
        )
    )

linear_regression_filename = joinpath(
    PROJECT_OUTPUT_DIRECTORY,
    "models",
    "linear_regression.jld2",
    )
random_forest_regression_filename = joinpath(
    PROJECT_OUTPUT_DIRECTORY,
    "models",
    "random_forest_regression.jld2",
    )
knet_mlp_regression_filename = joinpath(
    PROJECT_OUTPUT_DIRECTORY,
    "models",
    "knet_mlp_regression.jld2",
    )



linear_regression =
    PredictMD.load_model(linear_regression_filename)
random_forest_regression =
    PredictMD.load_model(random_forest_regression_filename)
knet_mlp_regression =
    PredictMD.load_model(knet_mlp_regression_filename)

PredictMD.parse_functions!(linear_regression)
PredictMD.parse_functions!(random_forest_regression)
PredictMD.parse_functions!(knet_mlp_regression)



PredictMD.predict(linear_regression,training_features_df,)
PredictMD.predict(random_forest_regression,training_features_df,)
PredictMD.predict(knet_mlp_regression,training_features_df,)

PredictMD.predict(linear_regression,testing_features_df,)
PredictMD.predict(random_forest_regression,testing_features_df,)
PredictMD.predict(knet_mlp_regression,testing_features_df,)

### End model output code



# This file was generated by PredictMD version 0.32.0, code name Cephalosporin
# For help, please visit https://predictmd.net

This page was generated using Literate.jl.