dump default_verbosity as likely introduces precompilation issues

oops

Author: ablaom

docs/src/anatomy_of_an_implementation.md

@@ -112,7 +112,7 @@ Note that we also include `learner` in the struct, for it must be possible to re
 The implementation of `fit` looks like this:
 
 ```@example anatomy
-function LearnAPI.fit(learner::Ridge, data; verbosity=LearnAPI.default_verbosity())
+function LearnAPI.fit(learner::Ridge, data; verbosity=1)
 
     X, y = data
 
@@ -443,7 +443,7 @@ methods - one to handle "regular" input, and one to handle the pre-processed dat
 (observations) which appears first below:
 
 ```@example anatomy2
-function LearnAPI.fit(learner::Ridge, observations::RidgeFitObs; verbosity=LearnAPI.default_verbosity())
+function LearnAPI.fit(learner::Ridge, observations::RidgeFitObs; verbosity=1)
 
     lambda = learner.lambda
 

docs/src/fit_update.md

@@ -3,8 +3,8 @@
 ### Training
 
 ```julia
-fit(learner, data; verbosity=LearnAPI.default_verbosity()) -> model
-fit(learner; verbosity=LearnAPI.default_verbosity()) -> static_model 
+fit(learner, data; verbosity=1) -> model
+fit(learner; verbosity=1) -> static_model 
 ```
 
 A "static" algorithm is one that does not generalize to new observations (e.g., some
@@ -101,18 +101,18 @@ See also [Density Estimation](@ref).
 
 Exactly one of the following must be implemented:
 
-| method                                                                 | fallback |
-|:-----------------------------------------------------------------------|:---------|
-| [`fit`](@ref)`(learner, data; verbosity=LearnAPI.default_verbosity())` | none     |
-| [`fit`](@ref)`(learner; verbosity=LearnAPI.default_verbosity())`       | none     |
+| method                                      | fallback |
+|:--------------------------------------------|:---------|
+| [`fit`](@ref)`(learner, data; verbosity=1)` | none     |
+| [`fit`](@ref)`(learner; verbosity=1)`       | none     |
 
 ### Updating
 
 | method                                                                               | fallback | compulsory? |
 |:-------------------------------------------------------------------------------------|:---------|-------------|
-| [`update`](@ref)`(model, data; verbosity=..., hyperparameter_updates...)`              | none     | no          |
-| [`update_observations`](@ref)`(model, new_data; verbosity=..., hyperparameter_updates...)` | none     | no          |
-| [`update_features`](@ref)`(model, new_data; verbosity=..., hyperparameter_updates...)`     | none     | no          |
+| [`update`](@ref)`(model, data; verbosity=1, hyperparameter_updates...)`              | none     | no          |
+| [`update_observations`](@ref)`(model, new_data; verbosity=1, hyperparameter_updates...)` | none     | no          |
+| [`update_features`](@ref)`(model, new_data; verbosity=1, hyperparameter_updates...)`     | none     | no          |
 
 There are some contracts governing the behaviour of the update methods, as they relate to
 a previous `fit` call. Consult the document strings for details.
@@ -124,5 +124,4 @@ fit
 update
 update_observations
 update_features
-LearnAPI.default_verbosity
 ```

src/LearnAPI.jl

@@ -1,7 +1,6 @@
 module LearnAPI
 
 include("types.jl")
-include("verbosity.jl")
 include("tools.jl")
 include("predict_transform.jl")
 include("fit_update.jl")

src/fit_update.jl

@@ -1,8 +1,8 @@
 # # FIT
 
 """
-    fit(learner, data; verbosity=LearnAPI.default_verbosity())
-    fit(learner; verbosity=LearnAPI.default_verbosity())
+    fit(learner, data; verbosity=1)
+    fit(learner; verbosity=1)
 
 Execute the machine learning or statistical algorithm with configuration `learner` using
 the provided training `data`, returning an object, `model`, on which other methods, such
@@ -26,7 +26,7 @@ by `fit`. Inspect the value of [`LearnAPI.is_static(learner)`](@ref) to determin
 
 Use `verbosity=0` for warnings only, and `-1` for silent training.
 
-See also [`LearnAPI.default_verbosity`](@ref), [`predict`](@ref), [`transform`](@ref),
+See also [`predict`](@ref), [`transform`](@ref),
 [`inverse_transform`](@ref), [`LearnAPI.functions`](@ref), [`obs`](@ref).
 
 # Extended help
@@ -37,10 +37,9 @@ Implementation of exactly one of the signatures is compulsory. If `fit(learner;
 verbosity=...)` is implemented, then the trait [`LearnAPI.is_static`](@ref) must be
 overloaded to return `true`.
 
-The signature must include `verbosity` with [`LearnAPI.default_verbosity()`](@ref) as
-default.
+The signature must include `verbosity` with `1` as default.
 
-If `data` encapsulates a *target* variable, as defined in LearnAPI.jl documentation, then
+If `data` encapsulates a *target* variable, as defined in LearnAPI.jl documentati[on, then
 [`LearnAPI.target(data)`](@ref) must be overloaded to return it. If [`predict`](@ref) or
 [`transform`](@ref) are implemented and consume data, then
 [`LearnAPI.features(data)`](@ref) must return something that can be passed as data to

src/verbosity.jl

@@ -2,7 +2,6 @@ using Test
 
 test_files = [
     "tools.jl",
-    "verbosity.jl",
     "traits.jl",
     "clone.jl",
     "predict_transform.jl",