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Juan Park
@juan57
Hello everyone, like @HYDesmondLiu, I am also looking at if there is an implementation for flow_from_directory or flow_from_dataframe.
Juan Park
@juan57

Also, does anyone happen to have a code example of training a multilabel model?
I am feeding the ImageClassifier, trainX (of shape: (n_images, 199, 199, 3)) and trainY (of shape: (n_images, n_classes)).

    model = ak.ImageClassifier(verbose=True)
    model.fit(trainX, trainY, time_limit=seconds)

I am getting the error:

ValueError: Found input variables with inconsistent numbers of samples: [16933, 474124]

Where 474124 is n_classes*n_images. To me, it looks ImageClassifier assumes the labels to be in multiclass format (ie. class=[0, 1, 2, 3, 4....]).

Sinan Sivri
@sinansivri
Hello everyone best practice is using autokeras with docker? i'm unable to install via pip
could you help?
StephenHogg
@StephenHogg
Hi - I was wondering if anyone had any advice on how to use autokeras with multiple inputs?
for context, I am working on a vector classification problem (i.e. my output is a vector of non-softmax binary classifiers)
and I have a text input and an audio input
I'd like to keep them separate as the text input is non-embedded tokens (and would need to be embedded first somehow), so I don't think I can just concatenate them
concatenate text and audio input, I mean
StephenHogg
@StephenHogg
@jhfjhfj1 is this channel monitored?
Huaiyi Zhao
@huaiyizhao
Hi all.
Hi everyone. I am wondering how to use the funcion ''visualize’’ to see what a model looks like since i do not know where exactly can i get this function, more specificly, what part do i need to import?
jirapongk
@jirapongk

Hi All,
Please you help me.
I try to use Supervised Class. it occur error TypeError as picture.
How to use Supervised Class.
Thanks

https://ibb.co/3z6ktPn

Vijay Daita
@vdaita
I was wondering if you could use AutoKeras as a replacement for AutoML
How would it compare to something like fast.ai?
Ming-Hsuan-Tu
@twmht
I can't find the example of cifar10 (keras-team/autokeras@85d972a), where is it?
Josiah
@josai
anyone here?
How many epochs does it run on each model? And does Current Metric = train or test accuracy?
LemonAndroid
@LemonAndroid
can someone help me integrate autokeras in my app?
yuliu92
@yuliu92
Hi All,
Does anybody have any experience using AutoKeras with time series data?
kerem
@keremgocen
I also would like to get some tips on which cuda / tensorflow / autokeras versions work best, trying to setup a docker env so I can share it with the people on my team
Fan Yang
@MaxKinny
Hi everybody,
I got this error"RuntimeError: Given groups=1, weight of size [2048, 6144, 1], expected input[128, 8192, 128] to have 6144 channels, but got 8192 channels instead
"
how to solve this?
Elad Rapaport
@erap129
can autokeras be used for "image" data with more than 3 channels? I get "RuntimeError: running_mean should contain 3 elements not 22" when trying to run such a dataset but I was hoping that there is a tweak that can allow this?
Sravya Tirukkovalur
@sravsatuluri_twitter
Hi all, I am looking into the code base of autokeras and reading through the paper, seems like APIs have changed quite a bit recently( may be after 0.4.0 release). For example: no more search.py, bayesian.py . Curious, when is the next release planned? Asking to understand if it might be better to wait to dig through the code for the next release.
LemonAndroid
@LemonAndroid
Tomasz Latkowski
@tlatkowski
Hi all, i have a general question:
Does anyone try to train auto-keras on large datasets i.e. ImageNet?
I'm wondering how the results look like in comparison to RL-based NAS approaches
Thanks!
zhoukaisheng
@zhoukaisheng
hello?can autokeras be used for "image" data with more than 3 channels?
VCimni
@VCimni
Unbenannt.PNG
Hey Guys, i try to train and predict with an Auto Model and a simple structrured Data Set ... 1 row input -1 row output ... almost linear. But ak.fit crashes after a few seconds
Taylor
@taylor47_gitlab
Hey, i am new to autokeras and i am trying to do the example of the task api. I get the error ValueError: Either validation_data or validation_splitshould be provided. if i put the code into juypter notebook. version is right anyone can help me?
loftalert
@loftalert
Hi, anyone working with autokeras 1.0 on the Windows subsystem for linux? I am having trouble with CPU frequency management. In all examples I get 'NotImplementedError: can't find current frequency file' from psutil. Any ideas?
mjgallagher43
@mjgallagher43
There is a "greedy" cifar10 tutorial that wants to import from "nas.greedy" but there is no such module, none that I can find anyway.
There is a "greedy" cifar10 tutorial that wants to import from "nas.greedy" but there is no such module, none that I can find anyway. https://github.com/datamllab/autokeras-algorithm/blob/master/examples/cifar10_tutorial.py -- Does the autokeras group perhaps have the module hiding someplace? Please let me know.
sparklelj
@sparklelj
hi all , I got a Error when used autokeras
Traceback (most recent call last):
File "aktest.py", line 11, in <module>
clf.fit(x_train, y_train,validation_split=0.1)
File "/usr/local/lib/python3.6/dist-packages/autokeras/auto_model.py", line 123, in fit
preprocess_graph, keras_graph = self.hyper_graph.build_graphs(hp)
File "/usr/local/lib/python3.6/dist-packages/autokeras/hypermodel/graph.py", line 434, in build_graphs
plain_graph = self.hyper_build(hp)
File "/usr/local/lib/python3.6/dist-packages/autokeras/hypermodel/graph.py", line 454, in hyper_build
outputs = old_block.build(hp, inputs=inputs)
TypeError: _build_wrapper() got an unexpected keyword argument 'inputs'
how to solve this?
Alex Lau
@alex-tecky_gitlab
@sparklelj Same here
Alex Lau
@alex-tecky_gitlab
@sparklelj I found that the keras-tuner didn't pass the kwargs, so I have made a pull request for this: keras-team/keras-tuner#157
FengBotao119
@FengBotao119
hello, everyone'
igortorati
@igortorati
does auto keras provide support for LSTM (input shape (3000,7,10), output shape (3000,10), for exemple)
Leon Spors
@Halfbax
How do you load own datasets with ak 1.0?
Andreas Backhaus
@prometheusDE
Hello everyone. Is there a possibility to get the keras model itself which was generated for example within the ImageClassifier? I would like to a) show its structure and b) save it for serving.
QQQ YY
@heavenyq_gitlab
Hi everyone. How to solve "'Graph' object has no attribute 'produce_keras_model'" problem?
I use from autokeras.image.image_supervised import load_image_dataset, ImageClassifier
and clf.export_keras_model(MODEL_DIR)
Packt
@packtpartner

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farhan144
@farhan144
hi there has anyone worked with autokeras image classifer