Package ‘mxnet’ June 24, 2020 Type Package Title MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Sys- tems Version 2.0.0 Date 2017-06-27 Author Tianqi Chen, Qiang Kou, Tong He, Anirudh Acharya <https://github.com/anirudhacharya> Maintainer Qiang Kou <[email protected]> Repository apache/incubator-mxnet Description MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix the flavours of deep learning programs together to maximize the efficiency and your productivity. License Apache License (== 2.0) URL https://github.com/apache/incubator-mxnet/tree/master/R-package BugReports https://github.com/apache/incubator-mxnet/issues Imports methods, Rcpp (>= 0.12.1), DiagrammeR (>= 0.9.0), visNetwork (>= 1.0.3), data.table, jsonlite, magrittr, stringr Suggests testthat, mlbench, knitr, rmarkdown, imager, covr Depends R (>= 3.4.4) LinkingTo Rcpp VignetteBuilder knitr 1 2 R topics documented: RoxygenNote 7.1.0 Encoding UTF-8 R topics documented: arguments . 15 as.array.MXNDArray . 15 as.matrix.MXNDArray . 16 children . 16 ctx.............................................. 16 dim.MXNDArray . 17 graph.viz . 17 im2rec . 18 internals . 19 is.mx.context . 19 is.mx.dataiter . 20 is.mx.ndarray . 20 is.mx.symbol . 21 is.serialized . 21 length.MXNDArray . 21 mx.apply . 22 mx.callback.early.stop . 22 mx.callback.log.speedometer . 23 mx.callback.log.train.metric . 23 mx.callback.save.checkpoint . 24 mx.cpu . 24 mx.ctx.default . 24 mx.exec.backward . 25 mx.exec.forward . 25 mx.exec.update.arg.arrays . 26 mx.exec.update.aux.arrays . 26 mx.exec.update.grad.arrays . 27 mx.gpu . 27 mx.infer.rnn . 28 mx.infer.rnn.one . 28 mx.infer.rnn.one.unroll . 29 mx.init.create . 29 mx.init.internal.default . 30 mx.init.normal . 30 mx.init.uniform . 30 mx.init.Xavier . 31 mx.io.arrayiter . 31 mx.io.bucket.iter . 32 mx.io.CSVIter . 32 mx.io.extract . 34 mx.io.ImageDetRecordIter . 34 mx.io.ImageRecordInt8Iter . 38 R topics documented: 3 mx.io.ImageRecordIter . 41 mx.io.ImageRecordIter_v1 . 44 mx.io.ImageRecordUInt8Iter . 48 mx.io.ImageRecordUInt8Iter_v1 . 51 mx.io.LibSVMIter . 54 mx.io.MNISTIter . 56 mx.io.RandomSampler . 57 mx.io.SequentialSampler . 57 mx.io.ThreadedDataLoader . 58 mx.kv.create . 59 mx.lr_scheduler.FactorScheduler . 59 mx.lr_scheduler.MultiFactorScheduler . 60 mx.metric.accuracy . 60 mx.metric.custom . 61 mx.metric.logistic_acc . 61 mx.metric.logloss . 61 mx.metric.mae . 62 mx.metric.mse . 62 mx.metric.Perplexity . 62 mx.metric.rmse . 63 mx.metric.rmsle . 63 mx.metric.top_k_accuracy . 63 mx.model.buckets . 64 mx.model.FeedForward.create . 64 mx.model.init.params . 66 mx.model.load . 67 mx.model.save . 67 mx.nd.abs . 68 mx.nd.Activation . 68 mx.nd.adam.update . 69 mx.nd.add.n . 70 mx.nd.all.finite . 70 mx.nd.amp.cast . 71 mx.nd.amp.multicast . 71 mx.nd.arccos . 72 mx.nd.arccosh . 72 mx.nd.arcsin . 73 mx.nd.arcsinh . 73 mx.nd.arctan . 74 mx.nd.arctanh . 74 mx.nd.argmax . 75 mx.nd.argmax.channel . 75 mx.nd.argmin . 76 mx.nd.argsort . 77 mx.nd.array . 77 mx.nd.batch.dot . 78 mx.nd.batch.take . ..