kenmaz kenmaz

Try!Swift Day1 まとめ

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

	[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

	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

	[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:

	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

	import Foundation

	protocol JSONSerializable {
	func serializable() -> AnyObject
	}

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

	# まとめblog
	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

	★聞いてない奴

	OSSになっていろいろ動きが

	//: Playground - noun: a place where people can play

	import Foundation

	class Thunder { }
	class Fire { }

	//genericなprotocol
	protocol Pokemon {
	typealias PokemonType //swift2.2ではassociatedTypeって書くんだっけ