pyspace
installation
git clone -b pyspace_resources https://github.com/sahinbatmaz/resources.git pyspace_resources
cd pyspace_resources
pip install .
pip install pyspace-toolkit
# UPGRADE
pip install pyspace-toolkit --no-deps --force-reinstall
requirements
'sklearn','pandas','numpy',
'matplotlib','seaborn',
'rasa>=1.10.3','tensorflow',
'lightgbm','xgboost',
'spacy>=2.3.0','spacymoji',
'stanza','nlpcube',
'fuzzywuzzy','jellyfish>=0.8.2','fuzzy_sequence_matcher','fastdtw',
'tabulate','tqdm','jsonlines',
'sklearn-hierarchical-classification','JPype1','MiniSom'
text classification
from pyspace.data.analyse import get_cv_predictions
from pyspace.data.metrics import get_confusion_report
# train # pandas DataFrame # required columns : ['Text', 'Intent']
outdf_avg, y_prob_matrix_avg_df = get_cv_predictions(train, mode='text', cv=5, model_repeat_count=3, n_jobs=5, verbose=11,)
# outdf_avg # required columns : ['Text', 'Intent', 'y_pred'], additional columns : ['y_prob', 'y_2nd_pred', ...]
get_confusion_report(outdf_avg, excel_file_path='./dataset_analysis.xlsx', y_prob_matrix_df=None)
text gcn
import pandas as pd
train = pd.read_csv('dataset.csv')
train.columns = ['text', 'label']
from sklearn.model_selection import StratifiedKFold
skf = StratifiedKFold(n_splits=5, shuffle=True, random_state=0)
train_idx, test_idx = list(skf.split(list(train.index), train['label'].values))[4]
train['tot'] = None
train.at[train_idx, 'tot'] = 'train'
train.at[test_idx, 'tot'] = 'test'
from pyspace.nlp.models.text_gcn.text_gcn import TextGCN_TransductiveClassifier
from pyspace.nlp.models.text_gcn.fast_text_gcn_norank import FastTextGCN_InductiveClassifier
fasttextgcn = FastTextGCN_InductiveClassifier(verbose=1, )
fasttextgcn.train(train, validation_ratio=0.0, batch_size=256, epochs=80, learning_rate=0.01)
future work
1 maintainer
Metadata
1 maintainer
Release files for pyspace-toolkit 1.1.25.294
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