kislerdm/color_theory_app

An app to identify category of the color according to the color theory

color_theory_app's Issues

Frontend

Frontend: add get request from backend end-point

Add a function to fetch "is_warm" flag using GET call from the API end-point

DoD:

• function to call backend API end-point sending r,g,b params
• read "is_warm" response of the API end

Frontend: warm/cool field value added

Add the element to display the response of the backend end-point

DoD:

• html element added
• js connection set to display warm/cool flag to user in response to the backend end-point

Frontend: fill page with text

Add info text to the page

DoD:

• page has info text, e.g. some info on color theory + links to color theory pages (maybe wiki)

Frontend: Add color picker

Add color picker element

DoD:

• color picker added to the index.html (see mockup)
• associated js added
• input RGB values can we propagated to backend

ml_steps.ipynb model_baseline requires self?

In my installation (I did not use Docker as instructed, but I used Ubuntu 18.04 Anaconda Python 3.7.2), the jupyter notebook model_baseline did not make prediction due to an error expecting two args for the line below:

y_predict_baseline = model_v1.predict(df[['r', 'g', 'b']])

If I put self in the definition of predict function, the error was fixed.

 `def predict(self, X: pd.DataFrame) -> np.array:`