Merge pull request #109 from Minyus/docs/improve

docs: add buttons to open ipynb files in Colab

Author: usaito

README.md

@@ -78,7 +78,7 @@ Open Bandit Pipeline consists of the following main modules.
 
 - [**dataset module**](./obp/dataset/): This module provides a data loader for Open Bandit Dataset and a flexible interface for handling logged bandit feedback. It also provides tools to generate synthetic bandit data and transform multi-class classification data to bandit data.
 - [**policy module**](./obp/policy/): This module provides interfaces for implementing new online and offline bandit policies. It also implements several standard policy learning methods.
-- [**simulator module**](./obp/simulator/): This module provides functions for conducting offline bandit simulation. This module is necessary only when we want to implement the ReplayMethod to evaluate the performance of online or adaptive bandit policies with logged bandit data. Please refer to [examples/quickstart/online.ipynb](./examples/quickstart/online.ipynb) for the quickstart guide of implementing OPE of online bandit algorithms.
+- [**simulator module**](./obp/simulator/): This module provides functions for conducting offline bandit simulation. This module is necessary only when we want to implement the ReplayMethod to evaluate the performance of online or adaptive bandit policies with logged bandit data. Please refer to [examples/quickstart/online.ipynb](./examples/quickstart/online.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/st-tech/zr-obp/blob/master/examples/quickstart/online.ipynb) for the quickstart guide of implementing OPE of online bandit algorithms.
 - [**ope module**](./obp/ope/): This module provides interfaces for implementing OPE estimators. It also implements several standard and advanced OPE estimators.
 
 ### Algorithms and OPE Estimators Supported

examples/quickstart/README.md

@@ -2,9 +2,9 @@
 
 This page contains a list of quickstart notebooks written with the Open Bandit Pipeline.
 
-- [`obd.ipynb`](./obd.ipynb): a quickstart guide of the Open Bandit Dataset and Pipeline.
-- [`synthetic.ipynb`](./synthetic.ipynb): a quickstart guide to implement the standard off-policy learning, off-policy evaluation (OPE), and the evaluation of OPE procedures with the Open Bandit Pipeline.
-- [`multiclass.ipynb`](./multiclass.ipynb): a quickstart guide to handle multi-class classification data as logged bandit feedback data for the standard off-policy learning, off-policy evaluation (OPE), and the evaluation of OPE procedures with the Open Bandit Pipeline.
-- [`online.ipynb`](./online.ipynb): a quickstart guide to implement off-policy evaluation (OPE) and the evaluation of OPE procedures for online bandit algorithms with the Open Bandit Pipeline.
-- [`opl.ipynb`](./opl.ipynb): a quickstart guide to implement off-policy learners and the evaluation of off-policy learners with the Open Bandit Pipeline.
-- [`synthetic_slate.ipynb`](./synthetic_slate.ipynb): a quickstart guide to implement off-policy evaluation (OPE) and the evaluation of OPE procedures for the slate recommendation setting with the Open Bandit Pipeline.
+- [`obd.ipynb`](./obd.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/st-tech/zr-obp/blob/master/examples/quickstart/obd.ipynb): a quickstart guide of the Open Bandit Dataset and Pipeline.
+- [`synthetic.ipynb`](./synthetic.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/st-tech/zr-obp/blob/master/examples/quickstart/synthetic.ipynb): a quickstart guide to implement the standard off-policy learning, off-policy evaluation (OPE), and the evaluation of OPE procedures with the Open Bandit Pipeline.
+- [`multiclass.ipynb`](./multiclass.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/st-tech/zr-obp/blob/master/examples/quickstart/multiclass.ipynb): a quickstart guide to handle multi-class classification data as logged bandit feedback data for the standard off-policy learning, off-policy evaluation (OPE), and the evaluation of OPE procedures with the Open Bandit Pipeline.
+- [`online.ipynb`](./online.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/st-tech/zr-obp/blob/master/examples/quickstart/online.ipynb): a quickstart guide to implement off-policy evaluation (OPE) and the evaluation of OPE procedures for online bandit algorithms with the Open Bandit Pipeline.
+- [`opl.ipynb`](./opl.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/st-tech/zr-obp/blob/master/examples/quickstart/opl.ipynb): a quickstart guide to implement off-policy learners and the evaluation of off-policy learners with the Open Bandit Pipeline.
+- [`synthetic_slate.ipynb`](./synthetic_slate.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/st-tech/zr-obp/blob/master/examples/quickstart/synthetic_slate.ipynb): a quickstart guide to implement off-policy evaluation (OPE) and the evaluation of OPE procedures for the slate recommendation setting with the Open Bandit Pipeline.