Muller Helen

> We're considering adding support for different recommendations algorithms out of the box in the future releases, so that you can generate recommendations and then personalize them with Metarank without...

``` regex.cpp C:\Users\hai71\Documents\text\third_party\re2\re2/re2.h(694,13): warning C4820: 're2::RE2::Options': '1' bytes padding added after data member 're2::RE2::Options::log_errors_' [C:\Users\hai71\Documents\text\build\torchtext\csrc\libtorchte xt.vcxproj] C:\Users\hai71\Documents\text\third_party\re2\re2/re2.h(752,15): warning C4820: 're2::RE2': '4' bytes padding added aft er data member 're2::RE2::error_code_' [C:\Users\hai71\Documents\text\build\torchtext\csrc\libtorchtext.vcxproj]...

I think use JavaCpp tools maybe could solve generate java api

c++ api demo ``` std::unique_ptr file; auto tf_status = tensorflow::Env::Default()->NewRandomAccessFile( cc->InputSidePackets().Tag(kTFRecordPath).Get(), &file); RET_CHECK(tf_status.ok())

> ```java > for (List

> Hi @mullerhai , > > Is your goal to iterate through that dataset? If so, you need to create an iterator (e.g. by calling [`tf.data.makeIterator`](https://github.com/tensorflow/java/blob/303bf292b97073b73662c8acc01c5130b782203e/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/DataOps.java#L886)). Also in your example...

> parseExampleDataset ``` val fp = tf.constant("/Volumes/Pink4T/transfer/code/github/stanford-tensorflow-tutorials/2017/data/friday.tfrecord") val compress = tf.constant("") val bufferSize = tf.constant(0l) val datazs =tf.data.tfRecordDataset( fileNamec, compress, bufferSize) println(datazs.asTensor()) ``` I get the error: No tensor type...

> > Hi @mullerhai , > > Is your goal to iterate through that dataset? If so, you need to create an iterator (e.g. by calling [`tf.data.makeIterator`](https://github.com/tensorflow/java/blob/303bf292b97073b73662c8acc01c5130b782203e/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/DataOps.java#L886)). Also in your...

> Happy to help @mullerhai and thanks for the great comments! We also benefit having you looking in details at what is missing in our library so we can improve...

> Happy to help @mullerhai and thanks for the great comments! We also benefit having you looking in details at what is missing in our library so we can improve...