Merge pull request #37 from OHDSI/develop

Release v1.0.0

.github/workflows/pkgdown.yaml

@@ -2,7 +2,7 @@
 # Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
 on:
   push:
-    branches: [main, develop]
+    branches: [main]
   release:
     types: [published]
   workflow_dispatch:

DESCRIPTION

@@ -2,7 +2,7 @@ Package: DeepPatientLevelPrediction
 Type: Package
 Title: Deep Learning For Patient Level Prediction Using Data In The OMOP Common Data Model
 Version: 1.0.0
-Date: 29-08-2022
+Date: 09-10-2022
 Authors@R: c(
     person("Jenna", "Reps", email = "[email protected]", role = c("aut")), 
     person("Egill", "Fridgeirsson", email = "[email protected]", role = c("aut", "cre")),
@@ -23,7 +23,7 @@ Imports:
     data.table,
     FeatureExtraction (>= 3.0.0),
     ParallelLogger (>= 2.0.0),
-    PatientLevelPrediction,
+    PatientLevelPrediction (>= 6.0.4),
     rlang,
     torch (>= 0.8.0)
 Suggests:
@@ -34,7 +34,7 @@ Suggests:
     plyr,  
     testthat
 Remotes:
-    ohdsi/PatientLevelPrediction@develop,
+    ohdsi/PatientLevelPrediction,
     ohdsi/FeatureExtraction,
     ohdsi/Eunomia
 RoxygenNote: 7.2.1

NAMESPACE

@@ -5,6 +5,8 @@ export(Estimator)
 export(fitEstimator)
 export(gridCvDeep)
 export(predictDeepEstimator)
+export(setDefaultResNet)
+export(setDefaultTransformer)
 export(setMultiLayerPerceptron)
 export(setResNet)
 export(setTransformer)

NEWS.md

@@ -3,4 +3,5 @@ DeepPatientLevelPrediction 1.0.0
 
 - created an Estimator R6 class to handle the model fitting
 - Added three non-temporal models. An MLP, a ResNet and a Transformer
+- ResNet and Transformer have default versions of hyperparameters
 - Created tests and documentation for the package