Add files via upload

anomaly.py

@@ -2500,7 +2500,7 @@ def plot_model(model,
     model : object
     A trained model object can be passed. Model must be created using create_model().
 
-    plot : string, default = 'frequency'
+    plot : string, default = 'tsne'
     Enter abbreviation of type of plot. The current list of plots supported are:
 
     Name                           Abbreviated String     

requirements.txt

@@ -27,5 +27,4 @@ kmodes==0.10.1
 datefinder==0.7.0
 datetime
 DateTime==4.3
-tqdm==4.36.1
 awscli
\ No newline at end of file

setup.py

@@ -27,8 +27,8 @@ def readme():
 
 setup(
     name="pycaret",
-    version="0.0.60",
-    description="A Python package for supervised and unsupervised machine learning.",
+    version="1.0.0",
+    description="An open source, low-code machine learning library in Python",
     long_description=readme(),
     long_description_content_type="text/markdown",
     url="https://github.com/pycaret/pycaret",
@@ -47,5 +47,5 @@ setup(
                      "wordcloud", "textblob", "plotly==4.4.1", "cufflinks==0.17.0", "umap-learn",
                      "lightgbm==2.3.1", "pyLDAvis", "gensim", "spacy", "nltk", "mlxtend",
                      "pyod", "catboost==0.20.2", "pandas-profiling==2.3.0", "kmodes==0.10.1",
-                     "datefinder==0.7.0", "datetime", "DateTime==4.3", "tqdm==4.36.1", "awscli"]
+                     "datefinder==0.7.0", "datetime", "DateTime==4.3", "awscli"]
 )
\ No newline at end of file

utils.py

@@ -3,7 +3,7 @@
 # License: MIT
 
 def version():
-    print("0.0.60")
+    print("1.0.0")
 
 
 def check_metric(actual, prediction, metric, round=4):