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توضیحات

Adaptive experimetation for psychophysics

ویژگی	مقدار
سیستم عامل	-
نام فایل	aepsych-0.3.0
نام	aepsych
نسخه کتابخانه	0.3.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	-
ایمیل نویسنده	-
آدرس صفحه اصلی	-
آدرس اینترنتی	https://pypi.org/project/aepsych/
مجوز	-

# AEPsych AEPsych is a framework and library for adaptive experimetation in psychophysics and related domains. ## Installation `AEPsych` only supports python 3.8+. We recommend installing `AEPsych` under a virtual environment like [Anaconda](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html). Once you've created a virtual environment for `AEPsych` and activated it, you can install `AEPsych` using pip: ``` pip install aepsych ``` If you're a developer or want to use the latest features, you can install from GitHub using: ``` git clone https://github.com/facebookresearch/aepsych.git cd aepsych pip install -r requirements.txt pip install -e . ``` ## Usage **See the code examples [here](https://github.com/facebookresearch/aepsych/tree/main/examples).** The canonical way of using AEPsych is to launch it in server mode (you can run `aepsych_server` --help to see additional arguments): ``` aepsych_server --port 5555 --ip 0.0.0.0 database --db mydatabase.db ``` The server accepts messages over either a unix socket or [ZMQ](https://zeromq.org/), and all messages are formatted using [JSON](https://www.json.org/json-en.html). All messages have the following format: ``` { "type":<TYPE>, "version":<VERSION>, "message":<MESSAGE>, } ``` Version can be omitted, in which case we default to the oldest / unversioned handler for this message type. There are five message types: `setup`, `resume`, `ask`, `tell` and `exit`. ### Setup The `setup` message prepares the server for making suggestions and accepting data. The setup message can be formatted as either INI or a python dict (similar to JSON) format, and an example for psychometric threshold estimation is given in `configs/single_lse_example.ini`. It looks like this: ``` { "type":"setup", "version":"0.01", "message":{"config_str":<PASTED CONFIG STRING>} } ``` After receiving a setup message, the server responds with a strategy index that can be used to resume this setup (for example, for interleaving multiple experiments). ### Resume The `resume` message tells the server to resume a strategy from earlier in the same run. It looks like this: ``` { "type":"resume", "version":"0.01", "message":{"strat_id":"0"} } ``` After receiving a resume message, the server responds with the strategy index resumed. ### Ask The `ask` message queries the server for the next trial configuration. It looks like this: ``` { "type":"ask", "version":"0.01", "message":"" } ``` After receiving an ask message, the server responds with a configuration in JSON format, for example `{"frequency":100, "intensity":0.8}` ### Tell The `tell` message updates the server with the outcome for a trial configuration. Note that the `tell` does not need to match with a previously `ask`'d trial. For example, if you are interleaving AEPsych runs with a classical staircase, you can still feed AEPsych with the staircase data. A message looks like this: ``` { "type":"tell", "version":"0.01", "message":{ "config":{ "frequency":100, "intensity":0.8 }, "outcome":"1", } } ``` ### Exit The `exit` message tells the server to close the socket connection, write strats into the database and terminate current session. The message is: ``` { "type":"exit", } ``` The server closes the connection. ## Data export and visualization The data is logged to a SQLite database on disk (by default, `databases/default.db`). The database has one table containing all experiment sessions that were run. Then, for each experiment there is a table containing all messages sent and received by the server, capable of supporting a full replay of the experiment from the server's perspective. This table can be summarized into a data frame output (docs forthcoming) and used to visualize data (docs forthcoming). ## Contributing See the [CONTRIBUTING](CONTRIBUTING.md) file for how to help out. ## License AEPsych licensed CC-BY-NC 4.0, as found in the [LICENSE](LICENSE) file. ## Citing The AEPsych paper is currently under review. In the meanwhile, you can cite our [preprint](https://arxiv.org/abs/2104.09549): Owen, L., Browder, J., Letham, B., Stocek, G., Tymms, C., & Shvartsman, M. (2021). Adaptive Nonparametric Psychophysics. http://arxiv.org/abs/2104.09549

نیازمندی

مقدار	نام
-	matplotlib
-	torch
==19.0.2	pyzmq
-	scipy
-	sklearn
>=1.9.0	gpytorch
>=0.8.0	botorch
-	SQLAlchemy
-	dill
-	pandas
-	tqdm
-	pathos
-	aepsych-client
==0.3.6	voila
==7.6.5	ipywidgets
-	statsmodels

زبان مورد نیاز

مقدار	نام
>=3.8	Python

نحوه نصب

نصب پکیج whl aepsych-0.3.0:

pip install aepsych-0.3.0.whl

نصب پکیج tar.gz aepsych-0.3.0:

pip install aepsych-0.3.0.tar.gz