Introducing Robynpy - Robyn powered by Python. #1183
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…mentation_feature_engineering [modeling] add feature engineering implementations
…modeling_new [modeling] add modeling implementations
Robyn one pager end to end flow for tutorial 1
* added formatting with black-formatter * Added 4 new graphs to Pareto Optimizer + bug fixes * corrected notebooks * need to set cluster = true if you want bootstrap graph * Added Pareto utils call to src notebook --------- Co-authored-by: Dhaval Patel <[email protected]>
…_graph_twice Fix spend exposure graph twice
* refresh requirements * update requirements.txt * cleanup files * remove user paths
* debug modeling and pareto handoff * check feature parity for feature engineering * working modeling code * update allocator codes to include fixes for mroas and channel spends * cleared all notebook outputs * remove suppressed plt close * update prints to loggers * update print to loggers * fix instance logger files * fix logger
* refactored pareto_optimizer code * removed unused unit test --------- Co-authored-by: Dhaval Patel <[email protected]>
…al release (#1173) * revert ridge modeling to match convergence * tidy up loggers * clear notebooks, update gitignore * remove debug files
* refactored pareto_optimizer code * removed unused unit test * Added logging for Pareto module * cleaned up unused functions and unimplemented code * cluster loggers --------- Co-authored-by: Dhaval Patel <[email protected]>
* fix calculate decomp spend dist to use abs calc * clear notebook outs * update missing columns
* updated readme for python robyn * added package version of Robyn R used during python implementation --------- Co-authored-by: Dhaval Patel <[email protected]>
Moving tutorials into tests and organizing tests
* update visual fixes on notebook * clear notebook outputs * remove logger configuration on file levels * remove unused imports
* update colab notebooks * update with notebook content * publish with notebook content * update notebook code * update notebooks * update colab notebooks * update colab notebooks * update colab notebooks * update notebooks * update colab notebooks
facebook-github-bot
added
the
CLA Signed
sumane81
requested review from
Marco-Premier,
stevenwarejones,
gufengzhou,
dhavalpatel624624,
igorskokan and
alxlyj
alxlyj
approved these changes
Dec 8, 2024
Bumping up python release to 0.1.1
alxlyj
approved these changes
Dec 9, 2024
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Project RobynPy (Beta) - Robyn powered by Python
Robyn in Python
Addressing Challenges with a Multi-Faceted Approach
Our strategy includes:
Core Components Layer
The core components layer in this Robyn MMM APIs architecture offers several key benefits through its modular design. By separating functionality into distinct components for data ingestion, modeling, analysis, visualization, and reporting, the architecture enables clear data flow and easier maintenance. Each component can be independently updated or scaled, while the modular structure promotes code reusability and efficient debugging. The layout supports a natural progression from data preprocessing through to final outputs, with dedicated components for quality control and business-focused results like budget allocation. This clean separation of concerns makes the system both technically robust and business-oriented.
Robyn API layer
This interface serves as the primary entry point for end-users, providing a comprehensive set of APIs that require user input throughout the marketing mix modeling workflow. By abstracting away complex backend processes, these APIs simplify user interactions, allowing them to focus on high-level tasks. For instance, the loadData() API encapsulates data ingestion, validation, and preprocessing, eliminating the need for user intervention in these intermediate steps. This streamlined interface enables users to efficiently navigate the workflow, while the underlying system handles intricate details.
Tutorials
With the introduction of the unified API interface, we can revamp and expand our tutorial offerings. The existing tutorial, demo.R/py, will be significantly refined, providing a more streamlined and intuitive learning experience. Furthermore, the abstract APIs will enable us to create a suite of additional tutorials, each focused on specific use cases and scenarios, allowing users to explore the full potential of the marketing mix modeling workflow. This enhanced tutorial framework will cater to diverse user needs, promoting easier adoption and mastery of the system.