From /mnt/ubi/andres/miniconda3/envs/bgc/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3733: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
From /mnt/ubi/andres/miniconda3/envs/bgc/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:190: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

Loading model from: /export/home/andrespara/.local/share/deepbgc/data/0.1.0/classifier/product_class.pkl
Loading model from: /export/home/andrespara/.local/share/deepbgc/data/0.1.0/classifier/product_activity.pkl
Processing input file 1/1: test.fasta
================================================================================
Processing record #1: BGC0000015.1
Updating record alphabet to generic_dna
Finding genes in record: BGC0000015.1
Detecting Pfam domains in "BGC0000015.1" using HMMER hmmscan, this might take a while...
HMMER hmmscan Pfam detection done in 0h0m13s
Added 111 Pfam domains (47 unique PFAM_IDs)
Detecting BGCs using deepbgc model in BGC0000015.1
Detected 1 BGCs using deepbgc model in BGC0000015.1
Classifying 1 BGCs using product_class model in BGC0000015.1
Classifying 1 BGCs using product_activity model in BGC0000015.1
Saving processed record BGC0000015.1
================================================================================
Processing record #2: BGC0000015.2
Updating record alphabet to generic_dna
Finding genes in record: BGC0000015.2
Detecting Pfam domains in "BGC0000015.2" using HMMER hmmscan, this might take a while...
HMMER hmmscan Pfam detection done in 0h0m16s
Added 36 Pfam domains (34 unique PFAM_IDs)
Detecting BGCs using deepbgc model in BGC0000015.2
Detected 1 BGCs using deepbgc model in BGC0000015.2
Classifying 1 BGCs using product_class model in BGC0000015.2
Classifying 1 BGCs using product_activity model in BGC0000015.2
Saving processed record BGC0000015.2
================================================================================
Detected 2 total BGCs using deepbgc model
Number of BGCs with predicted product_class:
 Polyketide: 2
Number of BGCs with predicted product_activity:
 no confident class: 1
 antibacterial: 1
================================================================================
Saved DeepBGC result to: test
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