Question

我正在Rstudio中使用Keras进行深度学习。我复制并粘贴了此链接https://tensorflow.rstudio.com/tutorials/beginners/basic-ml/tutorial_basic_regression/

boston_housing <- dataset_boston_housing()

c(train_data, train_labels) %<-% boston_housing$train
c(test_data, test_labels) %<-% boston_housing$test

paste0("Training entries: ", length(train_data), ", labels: ", length(train_labels))

train_data[1, ] # Display sample features, notice the different scales

library(dplyr)

column_names <- c('CRIM', 'ZN', 'INDUS', 'CHAS', 'NOX', 'RM', 'AGE', 
                  'DIS', 'RAD', 'TAX', 'PTRATIO', 'B', 'LSTAT')

train_df <- train_data %>% 
  as_tibble(.name_repair = "minimal") %>% 
  setNames(column_names) %>% 
  mutate(label = train_labels)

test_df <- test_data %>% 
  as_tibble(.name_repair = "minimal") %>% 
  setNames(column_names) %>% 
  mutate(label = test_labels)

train_labels[1:10] # Display first 10 entries

spec <- feature_spec(train_df, label ~ . ) %>% 
  step_numeric_column(all_numeric(), normalizer_fn = scaler_standard()) 

spec <- fit(spec)

layer <- layer_dense_features(
  feature_columns = dense_features(spec), 
  dtype = tf$float32
)

layer(train_df)

layer(train_df)

Error in py_call_impl(callable, dots$args, dots$keywords) : 
  ValueError: ('We expected a dictionary here. Instead we got: ',          CRIM    ZN  INDUS  CHAS     NOX  ...    TAX  PTRATIO       B  LSTAT  label
0     1.23247   0.0   8.14   0.0  0.5380  ...  307.0     21.0  396.90  18.72   15.2
1     0.02177  82.5   2.03   0.0  0.4150  ...  348.0     14.7  395.38   3.11   42.3
**sessionInfo()**

R版本3.6.3（2020-02-29）平台：x86_64-w64-mingw32 / x64（64位）在以下环境下运行：Windows 10 x64（内部版本18363）

Matrix产品：默认

语言环境： [1] LC_COLLATE = Spanish_Chile.1252 LC_CTYPE = Spanish_Chile.1252 LC_MONETARY = Spanish_Chile.1252 [4] LC_NUMERIC = C LC_TIME = Spanish_Chile.1252

附带的基本软件包： [1]统计图形grDevices utils数据集方法基础

其他附件包： [1] dplyr_0.8.5 tfdatasets_2.0.0 keras_2.2.5.0 tensorflow_2.0.0

通过名称空间（未附加）加载： [1] Rcpp_1.0.3支柱_1.4.3编译器_3.6.3 prettyunits_1.1.1 base64enc_0.1-3工具_3.6.3
[7] progress_1.2.2 zeallot_0.1.0摘要_0.6.25 packrat_0.5.0 jsonlite_1.6.1评估_0.14
[13] tibble_2.1.3 pkgconfig_2.0.3 rlang_0.4.5 cli_2.0.2 rstudioapi_0.11 yaml_2.2.1
[19] xfun_0.12 knitr_1.28泛型_0.0.2 vctrs_0.2.4 rappdirs_0.3.1 hms_0.5.3
[25] tidyselect_1.0.0网纹_1.14胶水_1.3.2锻造_0.2.0 R6_2.4.1粉丝i_0.4.1
[31] rmarkdown_2.1 purrr_0.3.3 magrittr_1.5 whisker_0.4 tfestimators_1.9.1 tfruns_1.4
[37] htmltools_0.4.0断言_0.2.1 crayon_1.3.4

Answer 1

能否请您尝试提及here的修复程序。

如果链接断开，还可以提供以下解决方案-

要安装此修补程序，您应该确保关闭所有R会话，然后打开一个新的R会话并执行：

devtools::install_github("rstudio/reticulate")

您需要关闭所有R会话的原因是，如果Windows共享库在安装过程中正在使用中，则它们不会被成功覆盖。

希望这可以解决您遇到的问题。

py_call_impl中的Keras错误（可调用，点$ args，点$关键字）：

1 个答案: