Comments (7)
A way to fix it is to replace:
entry_name_hashed = FeatureHasher(50, input_type="string").transform([raw_obj['entry']]).toarray()[0]
with:
entry_name_hashed = FeatureHasher(50, input_type="string").transform([ [raw_obj['entry']] ]).toarray()[0]
in features.py
at line 192. In this way an iterable over iterable over raw features is obtained, as transform()
method require.
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Same problem. I started a fork to curate this repo. Also my PR #108 fixes the issue
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I have the same problem. @mrphilroth is this a common problem?
from ember.
i have the same problem , if you have fix it please tell me how
from ember.
i have the same problem , if you have fix it please tell me how
I have not been able to find a fix for this yet, although I have not spent a lot of time on this
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i had the same issue, downgraded python to 3.6 in my environment, worked like charm.
from ember.
downgrade to py3.6will solve
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Related Issues (20)
- AttributeError: module 'ember' has no attribute 'create_vectorized_features' HOT 10
- error: subprocess-exited-with-error (lief) HOT 2
- module 'lief' has no attribute 'bad_format' HOT 2
- Problem with run classify_binaries.py URGENT
- How to extract raw feature from a set of PE binaries? HOT 2
- Extract Raw Features for Own Dataset HOT 3
- How can I use .features script to extract features from a malware sample I already have using the same way ember does?
- Extracted raw features does match dataset features
- module 'ember' has no attribute 'predict_sample'
- How can I use my own binary Raw sample to apply on this model? HOT 1
- Can't import the library on Google Colab
- How to get the original bytes of the PE file. I want to covert a file to a gray image. HOT 5
- How to map samples in data set to their SHA256 hash?
- Define the information represented on the malware vector? HOT 3
- What is the license of the ember/features.py file?
- The train_ember.py file is not installed HOT 2
- Dependencies no longer declared in setuptools
- NumPy 1.24 compatibility HOT 2
- Sharing datasets over BitTorrent
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