- API docs
- CLI
- Overview
- Configuring the CLI
- Batch download
- Batch upload
- Batch delete
- Change log
- Command reference
- Integration guides
- Blog
- How machines learn to understand words: a guide to embeddings in NLP
- Prompt-based learning with Transformers
- Efficient Transformers II: knowledge distillation & fine-tuning
- Efficient Transformers I: attention mechanisms
- Deep hierarchical unsupervised intent modelling: getting value without training data
- Fixing annotating bias with Communications Mining
- Active learning: better ML models in less time
- It's all in the numbers - assessing model performance with metrics
- Why model validation is important
- Comparing Communications Mining and Google AutoML for conversational data intelligence
Configuring the CLI
re
. It assumes you have installed the CLI, see installation instructions.
The quick setup section is a short step by step reference for how to get started and configure the CLI. The rest of the page contains detailed instructions and goes into all of the available options.
Install the command line tool for your platform (Linux, Mac, and Windows are supported).
Create a named context to avoid having to enter your tenant endpoint and API token every time. Provide your tenant endpoint:
re config add --name main --endpoint https://<my_api_endpoint>/
re config add --name main --endpoint https://<my_api_endpoint>/
You will be asked to paste your API token:
I A new context `main` will be created.
Enter API token [none]: MYSUPERSECRETTOKEN
I New context `main` was created.
I A new context `main` will be created.
Enter API token [none]: MYSUPERSECRETTOKEN
I New context `main` was created.
Try running a command to see everything works, e.g.
re get datasets
re get datasets
-c
or --context
global flag to use a specific context with the command, e.g.
re -c main get datasets
re -c main get datasets
--token
, --endpoint
and --proxy
etc. Command line arguments take precedence over the context settings.
re
will prompt you to enter the token interactively.
For example, to list the available datasets
➜ re --endpoint https://acme.reinfer.io get datasets
input: Enter API token [none]: MYSUPERSECRETAPITOKEN
Name ID Updated (UTC) Title
InvestmentBank/collateral-streams aa9dda7c059e5a8d 2019-04-30 17:25:03 IB Collateral Streams
InvestmentBank/george-test 1aaeacd49dfce8a0 2019-05-10 15:32:34 Test Dataset
InvestmentBank/margin-call b9d50fb2b38c3af5 2019-05-08 07:51:09 IB Margin Call
InvestmentBank/margin-call-large 6d00b9f69ab059f6 2019-05-11 09:23:43 IB Margin Call Large
➜ re --endpoint https://acme.reinfer.io get datasets
input: Enter API token [none]: MYSUPERSECRETAPITOKEN
Name ID Updated (UTC) Title
InvestmentBank/collateral-streams aa9dda7c059e5a8d 2019-04-30 17:25:03 IB Collateral Streams
InvestmentBank/george-test 1aaeacd49dfce8a0 2019-05-10 15:32:34 Test Dataset
InvestmentBank/margin-call b9d50fb2b38c3af5 2019-05-08 07:51:09 IB Margin Call
InvestmentBank/margin-call-large 6d00b9f69ab059f6 2019-05-11 09:23:43 IB Margin Call Large
--token
➜ re --endpoint https://acme.reinfer.io --token MYSUPERSECRETAPITOKEN get datasets
➜ re --endpoint https://acme.reinfer.io --token MYSUPERSECRETAPITOKEN get datasets
This is generally not a good idea as the API token will be stored in your shell history. It would be better to store the API token in an environment variable.
➜ re --endpoint https://acme.reinfer.io --token $REINFER_TOKEN get datasets
➜ re --endpoint https://acme.reinfer.io --token $REINFER_TOKEN get datasets
However, this is still verbose, repetitive and unsafe.
Supplying configuration using command line flags can be useful in some cases. However, the recommended way of using the CLI is by configuring a named context, see below.
re
command. When you specify a context to run a command, the settings and credentials are used to run that command. Multiple
contexts can be stored in the configuration file.
Contexts help avoid having to manually specify a token, endpoint and other configuration with every command. A context is composed of:
- A memorable name which serves as an identifier for the context
- An API token used to authenticate the user making requests
- An endpoint to which the CLI will make the requests
- (Optional) An HTTP proxy to use for all requests
- (Optional) Whether to accept invalid TLS certificates from the endpoint (only useful for internal / dev Communications Mining clusters)
You can specify one default context that is used when none is explicitly referenced.
-c
, --context
flag can be used to use a specific context have names that you can specify as a parameter on the command line for individual
commands.
Creating a context
re config add
re config add
If run with no options, the command will interactively ask for the context name, endpoint and token.
➜ re config add
* Context name: acme-prod
I A new context `acme-prod` will be created
* Enter API token [none]: MYSUPERSECRETTOKEN
* Endpoint [https://reinfer.io/]: https://acme.reinfer.io
I Default context set to `acme-prod`
I New context `acme-prod` was created
➜ re config add
* Context name: acme-prod
I A new context `acme-prod` will be created
* Enter API token [none]: MYSUPERSECRETTOKEN
* Endpoint [https://reinfer.io/]: https://acme.reinfer.io
I Default context set to `acme-prod`
I New context `acme-prod` was created
When creating the very first context, this will be set as the active one
➜ re config add --name acme-dev --endpoint https://acme.reinfer.io/
I A new context `acme-dev` will be created.
* Enter API token [none]: MYSUPERSECRETTOKEN
I Default context set to `acme-dev`
I New context `acme-dev` was created.
➜ re config add --name acme-dev --endpoint https://acme.reinfer.io/
I A new context `acme-dev` will be created.
* Enter API token [none]: MYSUPERSECRETTOKEN
I Default context set to `acme-dev`
I New context `acme-dev` was created.
Adding a context with a name that already exists will instead update that context.
# Edit the acme-dev context if it already exists
re config add acme-dev
# Edit the acme-dev context if it already exists
re config add acme-dev
re config add -h
, the most important ones are
NAME | DESCRIPTION |
--name <name> | The name of the context that will be created or updated |
--endpoint <endpoint> | The Communications Mining cluster endpoint that will be used for this context |
--token <token> | The reinfer API token that will be used for this context |
--proxy <proxy> | URL for an HTTP proxy that will be used for all requests if specified |
The current context will be used for all subsequent commands. The following will print all datasets for the current context.
re get datasets
re get datasets
--token
, --endpoint
and --proxy
.re --proxy http://proxy.example get datasets
re --proxy http://proxy.example get datasets
Using a context
-c
or --context
global flag to use a specific context with the command, e.g.
re -c my-context get datasets
re -c my-context get datasets
re config
re config
command. The subcommands allow one to create, update, set the default and delete contexts and more.
See the command reference for all the available options.
The location of your configuration directory location varies based on the operating system. The Communications Mining command line tool respects these OS defaults and typically the configuration directory can be found at
~/.config/reinfer
on Linux$HOME/.config/reinfer
on macOS%AppData%\reinfer
on Windows
contexts.json
, for example ~/.config/reinfer/contexts.json
on Linux. It looks something like this
{
"current_context": "prod",
"contexts": [
{
"name": "prod",
"endpoint": "https://acme.reinfer.io/",
"token": "MYSUPERSECRETTOKEN",
"accept_invalid_certificates": false,
"proxy": null
}
]
}
{
"current_context": "prod",
"contexts": [
{
"name": "prod",
"endpoint": "https://acme.reinfer.io/",
"token": "MYSUPERSECRETTOKEN",
"accept_invalid_certificates": false,
"proxy": null
}
]
}