kenmaz

Try!Swift Day1 まとめ

書き起こし

http://niwatako.hatenablog.jp/entry/2016/03/05/022452

===================================================================

Swiftのエコシステムに飛び込む #tryswiftconf Day1-1

http://niwatako.hatenablog.jp/entry/2016/03/02/105937

kenmaz

import Foundation

protocol JSONSerializable {
    func serializable() -> AnyObject
}

extension JSONSerializable {
    func serializable() -> AnyObject {
        return self as AnyObject
    }

kenmaz

Process:               Python [64737]
Path:                  /usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/Resources/Python.app/Contents/MacOS/Python
Identifier:            Python
Version:               2.7.13 (2.7.13)
Code Type:             X86-64 (Native)
Parent Process:        bash [63006]
Responsible:           Python [64737]
User ID:               480524352

Date/Time:             2017-12-22 02:51:50.302 +0900

kenmaz

[image_classification]$ python train.py 
[02:49:49] src/nnvm/legacy_json_util.cc:190: Loading symbol saved by previous version v0.8.0. Attempting to upgrade...
[02:49:49] src/nnvm/legacy_json_util.cc:198: Symbol successfully upgraded!
Resizing images...
Performing feature extraction on resized images...
Completed 38/38
WARNING: The number of feature dimensions in this problem is very large in comparison with the number of examples. Unless an appropriate regularization value is set, this model may not provide accurate predictions for a validation/test set.
WARNING: Detected extremely low variance for feature(s) '__image_features__' because all entries are nearly the same.
Proceeding with model training using all features. If the model does not provide results of adequate quality, exclude the above mentioned feature(s) from the input dataset.
Logistic regression:

kenmaz

EC2 Instance: p2.xlarge
AMI: Ubuntu 18.04 LTS - Bionic / official Ubuntu AMI
https://aws.amazon.com/marketplace/pp/B07CQ33QKV?ref=cns_srchrow

=====

ubuntu@ip-172-31-15-26:~$ sudo apt install python2.7
ubuntu@ip-172-31-15-26:~$ sudo python2.7 get-pip.py 
ubuntu@ip-172-31-15-26:~$ sudo pip install virtualenv
ubuntu@ip-172-31-15-26:~$ virtualenv python2

kenmaz

[Desktop] git clone  [email protected]:libffi/libffi.git

Cloning into 'libffi'...
remote: Enumerating objects: 6, done.
remote: Counting objects: 100% (6/6), done.
remote: Compressing objects: 100% (6/6), done.
remote: Total 12750 (delta 0), reused 1 (delta 0), pack-reused 12744
Receiving objects: 100% (12750/12750), 7.45 MiB | 2.96 MiB/s, done.
Resolving deltas: 100% (8024/8024), done.
[Desktop] cd libffi