Set up MLFlow. Automatic server setup at localhost 5000. Experiments for decision tree, random forest, and xgboost set up, optimized through Bayesian search.

notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/MLmodel

@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 27152183
+model_uuid: 5040f599914b4f5888739b95285524f2
+run_id: 6bfd7856e3624d38aadfd33e3fc79343
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 14:04:14.687971'

notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/conda.yaml

@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env

notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/input_example.json

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notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:abe041262c93657c930e8324ddd788dbdba25acb647e245a71ffd18ce004cae8
+size 27144425

notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/python_env.yaml

@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt

notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/requirements.txt

@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3

notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/serving_input_example.json

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+{
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notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/estimator.html

@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-5 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-5 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-5 pre {
+  padding: 0;
+}
+
+#sk-container-id-5 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-5 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-5 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-5 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-5 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-5 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-5 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-5 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-5 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-5 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-5 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-5 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-5 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-5 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-5 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-5 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-5 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-5 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-5 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-5 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-5 div.sk-label label.sk-toggleable__label,
+#sk-container-id-5 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-5 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-5 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-5 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-5 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-5 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-5 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-5 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-5 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-5 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-5 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-5 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-5" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>RandomForestRegressor(max_depth=17)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-5" type="checkbox" checked><label for="sk-estimator-id-5" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;RandomForestRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestRegressor.html">?<span>Documentation for RandomForestRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>RandomForestRegressor(max_depth=17)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    

notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/metric_info.json

@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}

notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/MLmodel

@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 31005013
+model_uuid: 14b114586bf9463db4c497b4508d35ab
+run_id: d6de58a8b1b9445a8da3f306598e1754
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 16:02:11.207015'

notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/conda.yaml

@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env

notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1092fd6d474fafb4da32f866f250d60516be40b9d0ea045b3b46670cf1b6a27
+size 31005013

notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/python_env.yaml

@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt

notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/requirements.txt

@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3

notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/estimator.html

@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-179 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-179 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-179 pre {
+  padding: 0;
+}
+
+#sk-container-id-179 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-179 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-179 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-179 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-179 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-179 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-179 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-179 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-179 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-179 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-179 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-179 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-179 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-179 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-179 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-179 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-179 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-179 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-179 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-179 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-179 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-179 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-179 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-179 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-179 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-179 div.sk-label label.sk-toggleable__label,
+#sk-container-id-179 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-179 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-179 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-179 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-179 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-179 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-179 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-179 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-179 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
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+}
+
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+  position: relative;
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+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
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+  /* unfitted */
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+  border: var(--sklearn-color-fitted-level-3);
+}
+
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+}
+
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+
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+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
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+#sk-container-id-179 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-179 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-179 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-179" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>RandomForestRegressor(max_depth=15)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-179" type="checkbox" checked><label for="sk-estimator-id-179" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;RandomForestRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestRegressor.html">?<span>Documentation for RandomForestRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>RandomForestRegressor(max_depth=15)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    

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+mlflow==2.16.2
+cloudpickle==3.0.0
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+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
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+typing==3.7.4.3
+xgboost==2.1.1

notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/serving_input_example.json

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notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/MLmodel

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+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 11407815
+model_uuid: 751117a69bb044bbac47f376adec2200
+run_id: fcc0e9c35f1a4a88a44f203406bf3ccd
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float32", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 13:49:44.291808'

notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/conda.yaml

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+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+  - xgboost==2.1.1
+name: mlflow-env

notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/input_example.json

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notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7347f2f3ad2a8b185248e534e5b3c562aee728d94c9b03ebc280d1fc65eb562e
+size 11400057

notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/python_env.yaml

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+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt

notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/requirements.txt

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+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
+xgboost==2.1.1