DOC remove backticks in plain text in developer guide
@@ -481,31 +481,31 @@ runtime. The default values for the estimator tags are defined in the
The current set of estimator tags are:
-allow_nan (default=``False``)
+allow_nan (default=False)
whether the estimator supports data with missing values encoded as np.NaN
-binary_only (default=``False``)
+binary_only (default=False)
whether estimator supports binary classification but lacks multi-class
classification support.
-multilabel (default=``False``)
+multilabel (default=False)
whether the estimator supports multilabel output
-multioutput (default=``False``)
+multioutput (default=False)
whether a regressor supports multi-target outputs or a classifier supports
multi-class multi-output.
-multioutput_only (default=``False``)
+multioutput_only (default=False)
whether estimator supports only multi-output classification or regression.
-no_validation (default=``False``)
+no_validation (default=False)
whether the estimator skips input-validation. This is only meant for
stateless and dummy transformers!
-non_deterministic (default=``False``)
+non_deterministic (default=False)
whether the estimator is not deterministic given a fixed ``random_state``
-poor_score (default=``False``)
+poor_score (default=False)
whether the estimator fails to provide a "reasonable" test-set score, which
currently for regression is an R2 of 0.5 on a subset of the boston housing
dataset, and for classification an accuracy of 0.83 on
@@ -513,31 +513,31 @@ poor_score (default=``False``)
are based on current estimators in sklearn and might be replaced by
something more systematic.
-requires_fit (default=``True``)
+requires_fit (default=True)
whether the estimator requires to be fitted before calling one of
`transform`, `predict`, `predict_proba`, or `decision_function`.
-requires_positive_X (default=``False``)
+requires_positive_X (default=False)
whether the estimator requires positive X.
-requires_positive_y (default=``False``)
+requires_positive_y (default=False)
whether the estimator requires a positive y (only applicable for regression).
-_skip_test (default=``False``)
+_skip_test (default=False)
whether to skip common tests entirely. Don't use this unless you have a
*very good* reason.
-_xfail_test (default=``False``)
+_xfail_test (default=False)
dictionary ``{check_name : reason}`` of common checks to mark as a
known failure, with the associated reason. Don't use this unless you have a
*very good* reason.
-stateless (default=``False``)
+stateless (default=False)
whether the estimator needs access to data for fitting. Even though an
estimator is stateless, it might still need a call to ``fit`` for
initialization.
-X_types (default=``['2darray']``)
+X_types (default=['2darray'])
Supported input types for X as list of strings. Tests are currently only
run if '2darray' is contained in the list, signifying that the estimator
takes continuous 2d numpy arrays as input. The default value is
