TensorFlow 不适用于带有 R 的 h2o

Question

我已经使用 deepwater 构建了最新的 h2o 版本 (3.11.0.99999)，但在使用 TensorFlow 后端运行 h2o.deepwater 之后出现错误。

这是我的代码：

model_tf<-h2o.deepwater(x=2:ncol(train),
                        y=1,
                        backend = "tensorflow",
                        training_frame = train
                        )

这是错误：

java.lang.RuntimeException: Unable to initialize the native Deep Learning backend: resource mlp_1093x1x1_32.meta not found.

java.lang.RuntimeException: Unable to initialize the native Deep Learning backend: resource mlp_1093x1x1_32.meta not found. at hex.deepwater.DeepWaterModelInfo.setupNativeBackend(DeepWaterModelInfo.java:259) at hex.deepwater.DeepWaterModelInfo.(DeepWaterModelInfo.java:206) at hex.deepwater.DeepWaterModel.(DeepWaterModel.java:227) at hex.deepwater.DeepWater$DeepWaterDriver.buildModel(DeepWater.java:131) at hex.deepwater.DeepWater$DeepWaterDriver.computeImpl(DeepWater.java:118) at hex.ModelBuilder$Driver.compute2(ModelBuilder.java:173) at hex.deepwater.DeepWater$DeepWaterDriver.compute2(DeepWater.java:111) at water.H2O$H2OCountedCompleter.compute(H2O.java:1240) at jsr166y.CountedCompleter.exec(CountedCompleter.java:468) at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263) at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974) at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477) at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104)

Error: java.lang.RuntimeException: Unable to initialize the native Deep Learning backend: resource mlp_1093x1x1_32.meta not found.

相同的代码，但后端 "mxnet" 运行良好。

Answer 1

正如所指出的 here 此功能确实适用于最新的 H2O-3 和 DeepWater，您确实需要从源代码构建两者（或使用我们的 docker 图像）并安装 tar.gzR包。

旧的 DeepWater 版本将不起作用，因为我们只为某些类型的 MLP 模型生成 TF 模型。

TensorFlow 不适用于带有 R 的 h2o

TensorFlow doesn't work in h2o with R

r

h2o

tensorflow