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  2. clf.skops +0 -0
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README.md ADDED
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+ ---
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+ library_name: sklearn
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+ tags:
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+ - sklearn
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+ - skops
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+ - tabular-classification
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+ model_format: skops
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+ model_file: clf.skops
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+ widget:
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+ - structuredData:
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+ x0:
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+ - 25.861774444580078
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+ x1:
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+ - -9.131807327270508
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+ - 1.9384498596191406
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+ - 1.7882720232009888
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+ - 1.840790867805481
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+ - 2.3997442722320557
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+ x18:
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+ - 1.380855917930603
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+ - 1.2926031351089478
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+ x19:
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+ - 1.241168737411499
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+ - 0.8134236931800842
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+ x2:
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+ - 4.62739896774292
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+ - 5.171527862548828
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+ - 4.921814441680908
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+ x20:
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+ - 0.9832149744033813
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+ x21:
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+ - 0.8598455786705017
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+ - 0.6651478409767151
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+ - 0.9832149744033813
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+ x23:
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+ - 1.241168737411499
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+ - 1.126420021057129
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+ x24:
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+ - 2.725480556488037
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+ - 1.8365917205810547
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+ x26:
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+ - 1.22439444065094
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+ - 1.4565647840499878
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+ x3:
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+ - 0.15449941158294678
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+ - 0.03677806630730629
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+ - 0.07167093455791473
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+ x4:
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+ - -0.024682553485035896
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+ - -0.029335789382457733
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+ x5:
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+ - -0.5647724866867065
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+ - -0.19825565814971924
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+ - -0.3138836622238159
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+ x6:
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+ - 4.030393123626709
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+ - 5.093674182891846
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+ - 5.913875102996826
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+ x7:
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+ - 3.9418864250183105
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+ - 3.0784831047058105
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+ - 3.5550312995910645
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+ x8:
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+ - 2.884918212890625
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+ - 1.9384498596191406
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+ - 1.8467140197753906
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+ x9:
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+ - 1.4331213235855103
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+ - 1.9454820156097412
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+ - 0.7261717319488525
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+ ---
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+
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+ # Model description
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+
123
+ LightGBM classifier of tree/non-tree pixels from aerial imagery trained on Zurich's Orthofoto Sommer 2014/15 using detectree.
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+
125
+ ## Intended uses & limitations
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+
127
+ Segment tree/non-tree pixels from aerial imagery
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+
129
+ ## Training Procedure
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+
131
+ [More Information Needed]
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+
133
+ ### Hyperparameters
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+
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+ <details>
136
+ <summary> Click to expand </summary>
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+
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+ | Hyperparameter | Value |
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+ |-------------------|---------|
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+ | boosting_type | gbdt |
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+ | class_weight | |
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+ | colsample_bytree | 1.0 |
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+ | importance_type | split |
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+ | learning_rate | 0.1 |
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+ | max_depth | -1 |
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+ | min_child_samples | 20 |
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+ | min_child_weight | 0.001 |
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+ | min_split_gain | 0.0 |
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+ | n_estimators | 200 |
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+ | n_jobs | |
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+ | num_leaves | 31 |
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+ | objective | |
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+ | random_state | |
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+ | reg_alpha | 0.0 |
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+ | reg_lambda | 0.0 |
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+ | subsample | 1.0 |
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+ | subsample_for_bin | 200000 |
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+ | subsample_freq | 0 |
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+
160
+ </details>
161
+
162
+ ### Model Plot
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+
164
+ <style>#sk-container-id-15 {/* 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;}
165
+ }#sk-container-id-15 {color: var(--sklearn-color-text);
166
+ }#sk-container-id-15 pre {padding: 0;
167
+ }#sk-container-id-15 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;
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+ }#sk-container-id-15 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);
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+ }#sk-container-id-15 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 thedefault 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;
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+ }#sk-container-id-15 div.sk-text-repr-fallback {display: none;
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+ }div.sk-parallel-item,
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+ div.sk-serial,
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+ 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;
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+ }/* Parallel-specific style estimator block */#sk-container-id-15 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 2px solid var(--sklearn-color-text-on-default-background);flex-grow: 1;
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+ }#sk-container-id-15 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: var(--sklearn-color-background);position: relative;
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+ }#sk-container-id-15 div.sk-parallel-item {display: flex;flex-direction: column;
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+ }#sk-container-id-15 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;
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+ }#sk-container-id-15 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;
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+ }#sk-container-id-15 div.sk-parallel-item:only-child::after {width: 0;
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+ }/* Serial-specific style estimator block */#sk-container-id-15 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: var(--sklearn-color-background);padding-right: 1em;padding-left: 1em;
181
+ }/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
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+ clickable and can be expanded/collapsed.
183
+ - Pipeline and ColumnTransformer use this feature and define the default style
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+ - Estimators will overwrite some part of the style using the `sk-estimator` class
185
+ *//* Pipeline and ColumnTransformer style (default) */#sk-container-id-15 div.sk-toggleable {/* Default theme specific background. It is overwritten whether we have aspecific estimator or a Pipeline/ColumnTransformer */background-color: var(--sklearn-color-background);
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+ }/* Toggleable label */
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+ #sk-container-id-15 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.5em;box-sizing: border-box;text-align: center;
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+ }#sk-container-id-15 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);
189
+ }#sk-container-id-15 label.sk-toggleable__label-arrow:hover:before {color: var(--sklearn-color-text);
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+ }/* Toggleable content - dropdown */#sk-container-id-15 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
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+ }#sk-container-id-15 div.sk-toggleable__content.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
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+ }#sk-container-id-15 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);
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+ }#sk-container-id-15 div.sk-toggleable__content.fitted pre {/* unfitted */background-color: var(--sklearn-color-fitted-level-0);
194
+ }#sk-container-id-15 input.sk-toggleable__control:checked~div.sk-toggleable__content {/* Expand drop-down */max-height: 200px;max-width: 100%;overflow: auto;
195
+ }#sk-container-id-15 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";
196
+ }/* Pipeline/ColumnTransformer-specific style */#sk-container-id-15 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);
197
+ }#sk-container-id-15 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: var(--sklearn-color-fitted-level-2);
198
+ }/* Estimator-specific style *//* Colorize estimator box */
199
+ #sk-container-id-15 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
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+ }#sk-container-id-15 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
201
+ }#sk-container-id-15 div.sk-label label.sk-toggleable__label,
202
+ #sk-container-id-15 div.sk-label label {/* The background is the default theme color */color: var(--sklearn-color-text-on-default-background);
203
+ }/* On hover, darken the color of the background */
204
+ #sk-container-id-15 div.sk-label:hover label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2);
205
+ }/* Label box, darken color on hover, fitted */
206
+ #sk-container-id-15 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {color: var(--sklearn-color-text);background-color: var(--sklearn-color-fitted-level-2);
207
+ }/* Estimator label */#sk-container-id-15 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;
208
+ }#sk-container-id-15 div.sk-label-container {text-align: center;
209
+ }/* Estimator-specific */
210
+ #sk-container-id-15 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);
211
+ }#sk-container-id-15 div.sk-estimator.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
212
+ }/* on hover */
213
+ #sk-container-id-15 div.sk-estimator:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
214
+ }#sk-container-id-15 div.sk-estimator.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
215
+ }/* Specification for estimator info (e.g. "i" and "?") *//* Common style for "i" and "?" */.sk-estimator-doc-link,
216
+ a:link.sk-estimator-doc-link,
217
+ 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);
218
+ }.sk-estimator-doc-link.fitted,
219
+ a:link.sk-estimator-doc-link.fitted,
220
+ a:visited.sk-estimator-doc-link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1);
221
+ }/* On hover */
222
+ div.sk-estimator:hover .sk-estimator-doc-link:hover,
223
+ .sk-estimator-doc-link:hover,
224
+ div.sk-label-container:hover .sk-estimator-doc-link:hover,
225
+ .sk-estimator-doc-link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
226
+ }div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
227
+ .sk-estimator-doc-link.fitted:hover,
228
+ div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
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+ .sk-estimator-doc-link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
230
+ }/* Span, style for the box shown on hovering the info icon */
231
+ .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);
232
+ }.sk-estimator-doc-link.fitted span {/* fitted */background: var(--sklearn-color-fitted-level-0);border: var(--sklearn-color-fitted-level-3);
233
+ }.sk-estimator-doc-link:hover span {display: block;
234
+ }/* "?"-specific style due to the `<a>` HTML tag */#sk-container-id-15 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;
235
+ }#sk-container-id-15 a.estimator_doc_link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1);
236
+ }/* On hover */
237
+ #sk-container-id-15 a.estimator_doc_link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
238
+ }#sk-container-id-15 a.estimator_doc_link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);
239
+ }
240
+ </style><div id="sk-container-id-15" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>LGBMClassifier(n_estimators=200)</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-15" type="checkbox" checked><label for="sk-estimator-id-15" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;LGBMClassifier<span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>LGBMClassifier(n_estimators=200)</pre></div> </div></div></div></div>
241
+
242
+ ## Evaluation Results
243
+
244
+ Metrics calculated on a validation set of 1% of the test tiles
245
+
246
+ | Metric | Value |
247
+ |-----------|----------|
248
+ | accuracy | 0.87635 |
249
+ | precision | 0.785237 |
250
+ | recall | 0.756414 |
251
+ | f1 | 0.770556 |
252
+
253
+ ## Dataset description
254
+
255
+ https://www.geolion.zh.ch/geodatensatz/2831
256
+
257
+ ## Preprocessing description
258
+
259
+ Images are resampled to 50 cm resolution. Train/test split based on image descriptors with 1% of tiles selected for training.
260
+
261
+ # How to Get Started with the Model
262
+
263
+ [More Information Needed]
264
+
265
+ # Model Card Authors
266
+
267
+ Martí Bosch
268
+
269
+ # Model Card Contact
270
+
271
+ marti.bosch@epfl.ch
272
+
273
+ # Citation
274
+
275
+ https://joss.theoj.org/papers/10.21105/joss.02172
276
+
277
+ # Example predictions
278
+
279
+ <details>
280
+ <summary> Click to expand </summary>
281
+
282
+ ![Example predictions](plot.png)
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+
284
+ </details>
clf.skops ADDED
Binary file (754 kB). View file
 
plot.png ADDED