Merge pull request #217 from uriahf/195-update-functions-for-discrimination-plots

195 update functions for discrimination plots

Author: uriahf

docs/_quarto.yml

@@ -21,10 +21,10 @@ quartodoc:
       contents:
         - prepare_performance_data
         - prepare_performance_data_times
-    - title: Calibration
-      desc: Functions for Calibration.
-      contents:
-        - create_calibration_curve
+    # - title: Calibration
+      # desc: Functions for Calibration.
+      # contents:
+        # - create_calibration_curve
     - title: Discrimination
       desc: Functions for Discrimination.
       contents:

pyproject.toml

@@ -13,7 +13,7 @@ dependencies = [
     "marimo>=0.17.0",
 ]
 name = "rtichoke"
-version = "0.1.20"
+version = "0.1.21"
 description = "interactive visualizations for performance of predictive models"
 readme = "README.md"
 

src/rtichoke/__init__.py

@@ -20,9 +20,9 @@
 from rtichoke.discrimination.gains import create_gains_curve as create_gains_curve
 from rtichoke.discrimination.gains import plot_gains_curve as plot_gains_curve
 
-from rtichoke.calibration.calibration import (
-    create_calibration_curve as create_calibration_curve,
-)
+# from rtichoke.calibration.calibration import (
+#     create_calibration_curve as create_calibration_curve,
+# )
 
 from rtichoke.utility.decision import create_decision_curve as create_decision_curve
 from rtichoke.utility.decision import plot_decision_curve as plot_decision_curve

src/rtichoke/calibration/calibration.py

@@ -3,11 +3,12 @@
 """
 
 from typing import Any, Dict, List, Optional
-import pandas as pd
+
+# import pandas as pd
 import plotly.graph_objects as go
 from plotly.subplots import make_subplots
 from plotly.graph_objs._figure import Figure
-from rtichoke.helpers.send_post_request_to_r_rtichoke import send_requests_to_rtichoke_r
+# from rtichoke.helpers.send_post_request_to_r_rtichoke import send_requests_to_rtichoke_r
 
 
 def create_calibration_curve(
@@ -52,38 +53,39 @@ def create_calibration_curve(
     Returns:
         Figure: _description_
     """
+    pass
 
-    rtichoke_response = send_requests_to_rtichoke_r(
-        dictionary_to_send={
-            "probs": probs,
-            "reals": reals,
-            "size": size,
-            "color_values ": color_values,
-        },
-        url_api=url_api,
-        endpoint="create_calibration_curve_list",
-    )
+    # rtichoke_response = send_requests_to_rtichoke_r(
+    #     dictionary_to_send={
+    #         "probs": probs,
+    #         "reals": reals,
+    #         "size": size,
+    #         "color_values ": color_values,
+    #     },
+    #     url_api=url_api,
+    #     endpoint="create_calibration_curve_list",
+    # )
 
-    calibration_curve_list = rtichoke_response.json()
+    # calibration_curve_list = rtichoke_response.json()
 
-    calibration_curve_list["deciles_dat"] = pd.DataFrame.from_dict(
-        calibration_curve_list["deciles_dat"]
-    )
-    calibration_curve_list["smooth_dat"] = pd.DataFrame.from_dict(
-        calibration_curve_list["smooth_dat"]
-    )
-    calibration_curve_list["reference_data"] = pd.DataFrame.from_dict(
-        calibration_curve_list["reference_data"]
-    )
-    calibration_curve_list["histogram_for_calibration"] = pd.DataFrame.from_dict(
-        calibration_curve_list["histogram_for_calibration"]
-    )
+    # calibration_curve_list["deciles_dat"] = pd.DataFrame.from_dict(
+    #     calibration_curve_list["deciles_dat"]
+    # )
+    # calibration_curve_list["smooth_dat"] = pd.DataFrame.from_dict(
+    #     calibration_curve_list["smooth_dat"]
+    # )
+    # calibration_curve_list["reference_data"] = pd.DataFrame.from_dict(
+    #     calibration_curve_list["reference_data"]
+    # )
+    # calibration_curve_list["histogram_for_calibration"] = pd.DataFrame.from_dict(
+    #     calibration_curve_list["histogram_for_calibration"]
+    # )
 
-    calibration_curve = create_plotly_curve_from_calibration_curve_list(
-        calibration_curve_list=calibration_curve_list, calibration_type=calibration_type
-    )
+    # calibration_curve = create_plotly_curve_from_calibration_curve_list(
+    #     calibration_curve_list=calibration_curve_list, calibration_type=calibration_type
+    # )
 
-    return calibration_curve
+    # return calibration_curve
 
 
 def create_plotly_curve_from_calibration_curve_list(

src/rtichoke/helpers/send_post_request_to_r_rtichoke.py

@@ -2,7 +2,7 @@
 A module for sending post requests to rtichoke r api
 """
 
-import requests
+# import requests
 import pandas as pd
 from rtichoke.helpers.exported_functions import create_plotly_curve
 
@@ -18,9 +18,10 @@ def send_requests_to_rtichoke_r(dictionary_to_send, url_api, endpoint):
     Returns:
         _type_: _description_
     """
-    rtichoke_response = requests.post(f"{url_api}{endpoint}", json=dictionary_to_send)
+    pass
+    # rtichoke_response = requests.post(f"{url_api}{endpoint}", json=dictionary_to_send)
 
-    return rtichoke_response
+    # return rtichoke_response
 
 
 def create_rtichoke_curve(