cryptory | Retrieve historical crpytocurrency data | Cryptography library

by dashee87 Python Version: 0.1.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | cryptory Summary

cryptory is a Python library typically used in Security, Cryptography, Nodejs applications. cryptory has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install cryptory' or download it from GitHub, PyPI.

Retrieve historical cryptocurrency and other related data.

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Quality

Security

License

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Support

cryptory has a low active ecosystem.

It has 213 star(s) with 61 fork(s). There are 27 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 3 have been closed. On average issues are closed in 40 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cryptory is 0.1.1

Quality

cryptory has 0 bugs and 0 code smells.

Security

cryptory has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cryptory code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cryptory is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

cryptory releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

cryptory saves you 162 person hours of effort in developing the same functionality from scratch.

It has 403 lines of code, 11 functions and 4 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed cryptory and discovered the below as its top functions. This is intended to give you an instant insight into cryptory implemented functionality, and help decide if they suit your requirements.

Get exchange rates
Merge data with fill gaps
Get Google trends
Extract a metric from subreddit
Extract Bitinfocharts for a given coin
Get stock prices for a given market
Retrieve metal prices
Returns a pandas dataframe containing alloil prices
Extract coins from coinmarket

Get all kandi verified functions for this library.

cryptory Key Features

No Key Features are available at this moment for cryptory.

cryptory Examples and Code Snippets

No Code Snippets are available at this moment for cryptory.

Community Discussions

Trending Discussions on cryptory

Keras model.predict always predicts 1

QUESTION

Keras model.predict always predicts 1

Asked 2019-Apr-17 at 15:53

I'm working on some Artificial Intelligence project and I want to predict the bitcoin trend but while using the model.predict function from Keras with my test_set, the prediction is always equal to 1 and the line in my diagram is therefor always straight.

...

ANSWER

Answered 2019-Apr-17 at 15:53

You're trying to predict a price value, that is, you're aiming at solving a regression problem and not a classification problem.

However, in your last layer of the network (model.add(Dense(units=1, activation="softmax"))), you have a single neuron (which would be adequate for a regression problem), but you've chosen to use a softmax activation function. The softmax function is used in multi-class classification problems, to normalize the outputs into a probability distribution. If you have a single output neuron and you apply softmax, the final result will always 1.0, as it is the only parameter of the probability distribution.

In summary, for regression problems you do not use an activation function, as the network is intended to already output the predicted value.

Source https://stackoverflow.com/questions/55731025

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install cryptory

You can install using 'pip install cryptory' or download it from GitHub, PyPI.
You can use cryptory like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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