Simple self-use great functions
Use the package manager pip to install utilities.
pip install xin-util# regular utilities
from xin_util.PrettyPrintDict import pretty_print_dict
from xin_util.CreateDIYdictFromDataFrame import CreateDIYdictFromDataFrame
from xin_util.ReadWritePicklefile import read_pickle, save_pickle
from xin_util.DownloadFromS3 import S3_download_folder, S3_upload_folder
from xin_util.BarPlots import plot_stacked_bar
from xin_util.ZipAndUnzip import zip, unzip
from xin_util.AccessSQL import getDBData, create
# TimeSeries
from xin_util.TimeSeriesFeatureEngineer import TimeSeries, create_average_feature
# NLP related
from xin_util.TextProcess import text_tokens
from xin_util.ResamplingData import up_resample
from xin_util.Scores import single_label_f_score, single_label_included_score, multiple_label_included_score
from xin_util.TFIDFpredict import tf_idf_classify
from xin_util.EmbeddingCNNpredict import Convolution_Network_classify
from xin_util.EmbeddingRNNpredict import Recurrent_Network_classify
from xin_util.FASTTEXTpredict import fasttext_classify
from xin_util.NBpredict import Naive_Bayes_classify
from xin_util.ONEHOTNNpredict import Onehot_Network_classify
from xin_util.LatentDirichletAllocationClass import MyLDA
# Model training time prediction
from model_trainingtime_prediction.layer_level_utils import get_train_data
from model_trainingtime_prediction.random_network_gen import gen_nn
from model_trainingtime_prediction.train_time_predict import prediction_model- PrettyPrintDict
- CreateDIYdictFromDataFrame
- ReadWritePicklefile
- DownloadFromS3
- ZipAndUnzip
- TimeSeriesFeatureEngineer
- TextProcess
- ResamplingData
- Scores
- TFIDFpredict
- EmbeddingCNNpredict
- EmbeddingRNNpredict
- FASTTEXTpredict
- NBpredict
- ONEHOTNNpredict
- LatentDirichletAllocationClass
- AccessSQL
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.