[Update] Permute 2.0.5

Hi,
after updating R and RStudio I am no longer able to see my plots in the
plot pane. Instead a new window opens called: R Graphics: Device 2 (Active).
I tried to use dev.off(), reinstalling, update again and etc but it does
not help.
I've checked this discussion list but I could not find any solution.
The following are some info about my R version
> sessionInfo()
R version 3.3.2 (2016-10-31)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
locale:
[1] LC_COLLATE=Portuguese_Brazil.1252 LC_CTYPE=Portuguese_Brazil.1252
[3] LC_MONETARY=Portuguese_Brazil.1252 LC_NUMERIC=C
[5] LC_TIME=Portuguese_Brazil.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] RColorBrewer_1.1-2 labdsv_1.8-0 cluster_2.0.5 MASS_7.3-45
[5] mgcv_1.8-15 nlme_3.1-128 analogue_0.17-0 vegan_2.4-1
[9] lattice_0.20-34 permute_0.9-4
loaded via a namespace (and not attached):
[1] Matrix_1.2-7.1 parallel_3.3.2 tools_3.3.2 brglm_0.5-9
[5] grid_3.3.2 princurve_1.1-12
$version
[1] ‘0.99.441’
Any help are very welcome.
Thanks
Jackson
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Permute the dimensions of an input according to a given pattern

Join GitHub today. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Oct 17, 2010% DERIVATIVE Compute derivative while preserving dimensions%% DERIVATIVE(X), for a vector X, is an estimate of the first derivative of X.% DERIVATIVE(X), for a matrix X. How do I reduce this nxmx3 matrix to a (n.m)x3. Learn more about 3d, cat, reshape, repmat MATLAB.

Permute the dimensions of an input according to a given pattern

Usage
Arguments
object

Model or layer object

dims

List of integers. Permutation pattern, does not include thesamples dimension. Indexing starts at 1. For instance, (2, 1) permutesthe first and second dimension of the input.

input_shape

Input shape (list of integers, does not include thesamples axis) which is required when using this layer as the first layer ina model.

batch_input_shape

Shapes, including the batch size. For instance,batch_input_shape=c(10, 32) indicates that the expected input will bebatches of 10 32-dimensional vectors. batch_input_shape=list(NULL, 32)indicates batches of an arbitrary number of 32-dimensional vectors.

batch_size

Fixed batch size for layer

dtype

The data type expected by the input, as a string (float32,float64, int32...)

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name

An optional name string for the layer. Should be unique in amodel (do not reuse the same name twice). It will be autogenerated if itisn't provided.

trainable

Whether the layer weights will be updated during training.

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weights
Permute

Initial weights for layer.

Note
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Useful for e.g. connecting RNNs and convnets together.

Input and Output Shapes

Input shape: Arbitrary

Output shape: Same as the input shape, but with the dimensions re-orderedaccording to the specified pattern.

See Also

Other core layers: layer_activation, layer_activity_regularization, layer_dense_features, layer_dense, layer_dropout, layer_flatten, layer_input, layer_lambda, layer_masking, layer_repeat_vector, layer_reshape

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Aliases

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  • layer_permute

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Documentation reproduced from package keras, version 2.2.5.0, License: MIT + file LICENSE

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Community examples

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API documentation