update urls broken by MLJ transfer

Author: ablaom

README.md

@@ -1,7 +1,7 @@
 ## MLJBase
 
 Repository for developers that provides core functionality for the
-[MLJ](https://github.com/alan-turing-institute/MLJ.jl) machine
+[MLJ](https://github.com/JuliaAI/MLJ.jl) machine
 learning framework.
 
 | Branch   | Julia | Build  | Coverage |
@@ -20,7 +20,7 @@ learning framework.
 
 [![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliaai.github.io/MLJBase.jl/stable/)
 
-[MLJ](https://github.com/alan-turing-institute/MLJ.jl) is a Julia
+[MLJ](https://github.com/JuliaAI/MLJ.jl) is a Julia
 framework for combining and tuning machine learning models. This
 repository provides core functionality for MLJ, including:
 
@@ -37,7 +37,7 @@ repository provides core functionality for MLJ, including:
 - basic utilities for **manipulating datasets** and for **synthesizing datasets** (src/data)
 
 - a [small
-  interface](https://alan-turing-institute.github.io/MLJ.jl/dev/evaluating_model_performance/#Custom-resampling-strategies-1)
+  interface](https://JuliaAI.github.io/MLJ.jl/dev/evaluating_model_performance/#Custom-resampling-strategies-1)
   for **resampling strategies** and implementations, including `CV()`, `StratifiedCV` and
   `Holdout` (src/resampling.jl). Actual performance evaluation measures (aka metrics), which previously
   were provided by MLJBase.jl, now live in [StatisticalMeasures.jl](https://juliaai.github.io/StatisticalMeasures.jl/dev/).

docs/src/index.md

@@ -2,7 +2,7 @@
 
 These docs are bare-bones and auto-generated. Complete MLJ
 documentation is
-[here](https://alan-turing-institute.github.io/MLJ.jl/dev/). 
+[here](https://JuliaAI.github.io/MLJ.jl/dev/).
 
 For MLJBase-specific developer information, see also the [README.md
 file](https://github.com/JuliaAI/MLJBase.jl#readme).

src/composition/learning_networks/nodes.jl

@@ -182,7 +182,7 @@ function ScientificTypes.elscitype(
 end
 
 # TODO after
-# https://github.com/alan-turing-institute/ScientificTypesBase.jl/issues/102 :
+# https://github.com/JuliaAI/ScientificTypesBase.jl/issues/102 :
 # Add Probabilistic case to above
 
 ScientificTypes.scitype(N::Node) = CallableReturning{elscitype(N)}

src/composition/models/pipelines.jl

@@ -397,7 +397,7 @@ end
 
 # # LEARNING NETWORK INTERFACE
 
-# https://alan-turing-institute.github.io/MLJ.jl/dev/composing_models/#Learning-network-machines
+# https://JuliaAI.github.io/MLJ.jl/dev/composing_models/#Learning-network-machines
 
 
 # ## Methods to extend a pipeline learning network

src/composition/models/stacking.jl

@@ -276,7 +276,7 @@ MLJBase.load_path(::Type{<:ProbabilisticStack}) = "MLJBase.ProbabilisticStack"
 MLJBase.load_path(::Type{<:DeterministicStack}) = "MLJBase.DeterministicStack"
 MLJBase.package_name(::Type{<:Stack}) = "MLJBase"
 MLJBase.package_uuid(::Type{<:Stack}) = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
-MLJBase.package_url(::Type{<:Stack}) = "https://github.com/alan-turing-institute/MLJBase.jl"
+MLJBase.package_url(::Type{<:Stack}) = "https://github.com/JuliaAI/MLJBase.jl"
 MLJBase.package_license(::Type{<:Stack}) = "MIT"
 
 ###########################################################

src/interface/data_utils.jl

@@ -89,7 +89,7 @@ MMI.selectcols(::FI, ::Val{:table}, X, ::Colon) = X
 function MMI.selectrows(::FI, ::Val{:table}, X, r)
     r = r isa Integer ? (r:r) : r
     # next uncommented line is a hack; see
-    # https://github.com/alan-turing-institute/MLJBase.jl/issues/151
+    # https://github.com/JuliaAI/MLJBase.jl/issues/151
     isdataframe(X) && return X[r, :]
     cols = Tables.columntable(X)
     new_cols = NamedTuple{keys(cols)}(tuple((c[r] for c in values(cols))...))

test/_models/Constant.jl

@@ -171,7 +171,7 @@ metadata_pkg.((ConstantRegressor, ConstantClassifier,
                DeterministicConstantRegressor, DeterministicConstantClassifier),
               name="MLJModels",
               uuid="d491faf4-2d78-11e9-2867-c94bc002c0b7",
-              url="https://github.com/alan-turing-institute/MLJModels.jl",
+              url="https://github.com/JuliaAI/MLJModels.jl",
               julia=true,
               license="MIT",
               is_wrapper=false)

test/_models/simple_composite_model.jl

@@ -54,7 +54,7 @@ for model in COMPOSITE_MODELS
 
         MLJBase.metadata_pkg(
             $(model);
-            package_url = "https://github.com/alan-turing-institute/MLJBase.jl",
+            package_url = "https://github.com/JuliaAI/MLJBase.jl",
             is_pure_julia = true,
             is_wrapper = true
         )