@@ -71,7 +71,7 @@ install.packages("DALEXtra")
7171
7272### mlr [ dashboard] ( https://modelstudio.drwhy.ai/mlr.html )
7373
74- Make a studio for the regression ` ranger ` model on ` apartments ` data.
74+ Make a studio for the regression ` ranger ` model on the ` apartments ` data.
7575
7676<details open >
7777<summary ><strong ><em >code</em ></strong ></summary >
@@ -112,7 +112,7 @@ modelStudio(explainer, new_observation)
112112
113113### xgboost [ dashboard] ( https://modelstudio.drwhy.ai/xgboost.html )
114114
115- Make a studio for the classification ` xgboost ` model on ` titanic ` data.
115+ Make a studio for the classification ` xgboost ` model on the ` titanic ` data.
116116
117117<details >
118118<summary ><strong ><em >code</em ></strong ></summary >
@@ -150,8 +150,7 @@ new_observation <- test_matrix[1:2, , drop=FALSE]
150150rownames(new_observation ) <- c(" id1" , " id2" )
151151
152152# make a studio for the model
153- modelStudio(explainer , new_observation ,
154- options = ms_options(margin_left = 140 ))
153+ modelStudio(explainer , new_observation )
155154```
156155
157156</details >
@@ -174,7 +173,7 @@ install.packages("reticulate")
174173
175174### scikit-learn [ dashboard] ( https://modelstudio.drwhy.ai/scikitlearn.html )
176175
177- Make a studio for the regression ` Pipeline SVR ` model on ` fifa ` data.
176+ Make a studio for the regression ` Pipeline SVR ` model on the ` fifa ` data.
178177
179178<details >
180179<summary ><strong ><em >code</em ></strong ></summary >
@@ -217,15 +216,14 @@ explainer <- py_load_object("explainer_scikitlearn.pickle", pickle = "pickle")
217216
218217# make a studio for the model
219218library(modelStudio )
220- modelStudio(explainer , B = 5 ,
221- options = ms_options(margin_left = 160 ))
219+ modelStudio(explainer , B = 5 )
222220```
223221
224222</details >
225223
226224### lightgbm [ dashboard] ( https://modelstudio.drwhy.ai/lightgbm.html )
227225
228- Make a studio for the classification ` Pipeline LGBMClassifier ` model on ` titanic ` data.
226+ Make a studio for the classification ` Pipeline LGBMClassifier ` model on the ` titanic ` data.
229227
230228<details >
231229<summary ><strong ><em >code</em ></strong ></summary >
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