use julia 1.10

Tinggong · Oct 1, 2024 · de71bb4 · de71bb4
1 parent 69d52f9
commit de71bb4
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Showing 3 changed files with 4 additions and 8 deletions.
diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml
@@ -23,8 +23,7 @@ jobs:
       fail-fast: false
       matrix:
         version:
-          - '1.8'
-          - '1'
+          - '1.10'
         os:
           - ubuntu-latest
           - macOS-latest
@@ -41,5 +40,5 @@ jobs:
       - uses: julia-actions/julia-buildpkg@v1
       - uses: julia-actions/julia-runtest@v1
         with:
-          coverage: ${{ matrix.version == '1.8' && matrix.os == 'ubuntu-latest' }}
+          coverage: ${{ matrix.version == '1.10' && matrix.os == 'ubuntu-latest' }}
 
diff --git a/.github/workflows/Documentation.yml b/.github/workflows/Documentation.yml
@@ -21,7 +21,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: julia-actions/setup-julia@v1
         with:
-          version: '1.8'
+          version: '1.10'
       - uses: julia-actions/cache@v2
       - name: Install dependencies
         run: julia --project=docs/ -e 'using Pkg; Pkg.instantiate(); Pkg.activate("docs"); Pkg.develop(PackageSpec(path=pwd())); Pkg.instantiate()'

diff --git a/src/estimators_nn.jl b/src/estimators_nn.jl
@@ -34,10 +34,7 @@ export NetworkArg,
     )
 
 Return a `NetworkArg` object with necessary parameters to construct a neural network model 
-and generate training samples for specifc biophysical model. 
-    
-    
-A test network architecture and training samples can be automaticlly determined from the modelling task by using function
+and generate training samples for specifc biophysical model. A test network architecture and training samples can be automaticlly determined from the modelling task by using function
     
     NetworkArg(model, protocol, params, prior_range, prior_dist, paralinks, noisetype, sigma_range, sigma_dist)
 """