Merge branch 'mainline' into WHY-2304_notebook_tests

.github/workflows/continuous-integration.yml

@@ -14,7 +14,7 @@ jobs:
       fail-fast: false
       max-parallel: 6
       matrix:
-        python-version: [3.6, 3.7, 3.8]
+        python-version: [ 3.7, 3.8, 3.9]
         os: [ubuntu-latest, macOS-latest]
 
     steps:

README.md

@@ -48,7 +48,7 @@ These metrics include:
 * **Unique value counter** or **cardinality**: tracks an approximate unique value of your feature using HyperLogLog algorithm.
 * **Histograms** for numerical features. whylogs binary output can be queried to with dynamic binning based on the 
 shape of your data. 
-* **Top frequent items** (default is 30). Note that this configuration affects the memory footprint, especially for text features.
+* **Top frequent items** (default is 128). Note that this configuration affects the memory footprint, especially for text features.
 
 # Examples
 For a full set of our examples, please check out [whylogs-examples](https://github.com/whylabs/whylogs-examples).
@@ -58,11 +58,11 @@ Note that to use the run with matplotlib vizualiation, you'll have to install wh
 pip install "whylogs[viz]"
 ```
 
-Some of the notable notebooks:
+Check out our example notebooks with Binder: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/whylabs/whylogs-examples/HEAD)
 - [Getting Started notebook](https://github.com/whylabs/whylogs-examples/blob/mainline/python/GettingStarted.ipynb)
 - [Logging Example notebook](https://github.com/whylabs/whylogs-examples/blob/mainline/python/logging_example.ipynb)
-- [Logging a Dataframe](https://whylogs.readthedocs.io/en/latest/auto_examples/log_dataframe.html)
-- [Logger Options](https://whylogs.readthedocs.io/en/latest/auto_examples/configure_logger.html#sphx-glr-auto-examples-configure-logger-py)
+- [Logging Images](https://github.com/whylabs/whylogs-examples/blob/mainline/python/Logging_Images.ipynb)
+- [MLflow Integration](https://github.com/whylabs/whylogs-examples/blob/mainline/python/MLFlow%20Integration%20Example.ipynb)
 
 # Installation
 

requirements-dev.txt

@@ -40,8 +40,6 @@ ipython==7.19.0
 ipython-genutils==0.2.0
 isodate==0.6.0
 itsdangerous==1.1.0
-jedi==0.17.2
-Jinja2==2.11.2
 jmespath==0.10.0
 jupyter-client==6.1.7
 jupyter-core==4.7.0
@@ -63,14 +61,14 @@ parso==0.7.1
 pathspec==0.8.1
 pexpect==4.8.0
 pickleshare==0.7.5
-Pillow==8.1.0
+Pillow==8.1.1
 pkginfo==1.6.1
 pluggy==0.13.1
 pre-commit==2.9.2
 prometheus-client==0.9.0
 prometheus-flask-exporter==0.18.1
 prompt-toolkit==3.0.8
-protobuf==3.14.0
+protobuf==3.15.6
 ptyprocess==0.6.0
 py==1.10.0
 pyarrow==2.0.0
@@ -79,7 +77,7 @@ Pygments==2.7.2
 pyparsing==2.4.7
 pytest==6.1.2
 pytest-cov==2.10.1
-pytest-runner==5.2
+pytest-runner==5.3
 python-dateutil==2.8.1
 python-editor==1.0.4
 pytz==2020.4

requirements-test.txt

@@ -9,7 +9,7 @@ matplotlib==3.3.3
 numpy==1.19.4
 pandas==1.1.4;python_version < '3.7'
 pandas==1.2.1;python_version > '3.7'
-protobuf==4.0.0rc2
+protobuf==3.15.6
 python-dateutil==2.8.1
 pytz==2020.5
 PyYAML==5.4.1
@@ -22,7 +22,7 @@ whylabs-datasketches==2.2.0b1
 freezegun==1.1.0
 moto==1.3.16
 scikit-learn==0.24.1
-Pillow==8.1.0
+Pillow==8.1.1
 moto==1.3.16
 pytest-cov>=2.11.1
 mlflow==1.13.1

requirements.txt

@@ -7,7 +7,7 @@ jmespath==0.10.0
 marshmallow==3.10.0
 numpy==1.19.5
 pandas==1.1.4
-protobuf==3.14.0
+protobuf==3.15.6
 python-dateutil==2.8.1
 pytz==2020.5
 PyYAML==5.4.1

setup.cfg

@@ -34,15 +34,15 @@ package_dir =
 install_requires =
     click>=7.1.2
     python-dateutil>=2.8.1
-    protobuf>=3.12.2
+    protobuf>=3.15.5
     pyyaml>=5.3.1
     pandas>1.0
     marshmallow>=3.7.1
     numpy>=1.18
     whylabs-datasketches>=2.2.0b1
     boto3>=1.14.1
     botocore>=1.17.44
-    smart-open==4.1.2
+    smart-open>=4.1.2
 # very important: s3fs pulls in aiobotocore, which locks boto3
     xlrd==2.0.1
     openpyxl==3.0.6