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Difference between revisions of "Meteos/ExampleWord2Vec"

(3. Upload a raw data)
(5. Create a learning job)
 
(5 intermediate revisions by the same user not shown)
Line 16: Line 16:
 
<pre>
 
<pre>
 
$ glance image-list | grep meteos
 
$ glance image-list | grep meteos
| 45de4bbd-8419-40ff-8ed7-fc065c05e34f | meteos                          |
+
| a6b7de0b-10ff-462c-9c86-25c8a5622a57 | meteos                          |
 
</pre>
 
</pre>
 
<pre>
 
<pre>
 
$ neutron net-list | grep public
 
$ neutron net-list | grep public
| 84c13e76-ced9-4142-a885-280784f1f7a3 | public  | a14de1c5-b8d4-434b-a056-9b0049b93402             |
+
| 4222b557-6d9f-405c-b1ff-0f454d2f35bf | public  | 1f979ae3-d6b7-4d03-ba0f-9d9112581783             |
 
</pre>
 
</pre>
 
<pre>
 
<pre>
Line 30: Line 30:
 
     "display_name": "example-template",
 
     "display_name": "example-template",
 
     "display_description": "This is a sample template of experiment",
 
     "display_description": "This is a sample template of experiment",
     "image_id" : "45de4bbd-8419-40ff-8ed7-fc065c05e34f",
+
     "image_id" : "a6b7de0b-10ff-462c-9c86-25c8a5622a57",
 
     "master_nodes_num": 1,
 
     "master_nodes_num": 1,
 
     "master_flavor_id": "4",
 
     "master_flavor_id": "4",
Line 36: Line 36:
 
     "worker_flavor_id": "2",
 
     "worker_flavor_id": "2",
 
     "spark_version": "1.6.0",
 
     "spark_version": "1.6.0",
     "floating_ip_pool": "84c13e76-ced9-4142-a885-280784f1f7a3"
+
     "floating_ip_pool": "4222b557-6d9f-405c-b1ff-0f454d2f35bf"
 
}
 
}
 
</pre>
 
</pre>
Line 45: Line 45:
 
+---------------+-----------------------------------------+
 
+---------------+-----------------------------------------+
 
| cluster_id    | None                                    |
 
| cluster_id    | None                                    |
| created_at    | 2016-12-04T07:16:29.000000              |
+
| created_at    | 2016-12-15T22:55:03.000000              |
 
| description  | This is a sample template of experiment |
 
| description  | This is a sample template of experiment |
| id            | 8b7b9b89-f119-4b9b-b9b0-31598f819f1a   |
+
| id            | d3180a78-74cc-432d-9e9d-68640b18abae   |
 
| master_flavor | 4                                      |
 
| master_flavor | 4                                      |
 
| master_nodes  | 1                                      |
 
| master_nodes  | 1                                      |
 
| name          | example-template                        |
 
| name          | example-template                        |
| project_id    | 67401cca74c2409b939e944bc6c8fcbe       |
+
| project_id    | 4034bb3cd9324776a68c140fdd18baa4       |
 
| spark_version | 1.6.0                                  |
 
| spark_version | 1.6.0                                  |
 
| status        | available                              |
 
| status        | available                              |
| user_id      | 181b1caa9d5b470393ca66b9e511d5b0       |
+
| user_id      | 64ad04e101df40b4b51e5f370a83412c       |
 
| worker_flavor | 2                                      |
 
| worker_flavor | 2                                      |
 
| worker_nodes  | 2                                      |
 
| worker_nodes  | 2                                      |
 
+---------------+-----------------------------------------+
 
+---------------+-----------------------------------------+
 
</pre>
 
</pre>
 
  
 
=== 2. Create a experiment from template ===
 
=== 2. Create a experiment from template ===
Line 73: Line 72:
 
<pre>
 
<pre>
 
$ neutron net-list | grep private
 
$ neutron net-list | grep private
| 8abc626e-2b06-4c67-9b2c-0231f0cef5b8 | private | cb58940f-859b-48c6-b92a-3861470f1fc1 20.0.0.0/26 |
+
| e4fcc49c-48e5-48f8-9599-bb5eba1339c9 | private | e15c24a5-dfdd-4428-b27d-9827b35600c0 10.0.0.0/26 |
 
</pre>
 
</pre>
 
<pre>
 
<pre>
Line 84: Line 83:
 
     "display_description": "This is a sample experiment",
 
     "display_description": "This is a sample experiment",
 
     "key_name": "key1",
 
     "key_name": "key1",
     "neutron_management_network": "8abc626e-2b06-4c67-9b2c-0231f0cef5b8",
+
     "neutron_management_network": "e4fcc49c-48e5-48f8-9599-bb5eba1339c9",
     "template_id": "8b7b9b89-f119-4b9b-b9b0-31598f819f1a"
+
     "template_id": "d3180a78-74cc-432d-9e9d-68640b18abae"
 
}
 
}
 
</pre>
 
</pre>
Line 93: Line 92:
 
| Property          | Value                                |
 
| Property          | Value                                |
 
+--------------------+--------------------------------------+
 
+--------------------+--------------------------------------+
| created_at        | 2016-12-04T07:20:11.000000          |
+
| created_at        | 2016-12-15T22:56:51.000000          |
 
| description        | This is a sample experiment          |
 
| description        | This is a sample experiment          |
| id                | 91504a65-01cf-428f-81aa-596be7ca8619 |
+
| id                | fcc8d055-e801-4652-af8c-5aabedbf0286 |
 
| key_name          | key1                                |
 
| key_name          | key1                                |
| management_network | 8abc626e-2b06-4c67-9b2c-0231f0cef5b8 |
+
| management_network | e4fcc49c-48e5-48f8-9599-bb5eba1339c9 |
 
| name              | example-experiment                  |
 
| name              | example-experiment                  |
| project_id        | 67401cca74c2409b939e944bc6c8fcbe     |
+
| project_id        | 4034bb3cd9324776a68c140fdd18baa4     |
 
| status            | creating                            |
 
| status            | creating                            |
| user_id            | 181b1caa9d5b470393ca66b9e511d5b0     |
+
| user_id            | 64ad04e101df40b4b51e5f370a83412c     |
 
+--------------------+--------------------------------------+
 
+--------------------+--------------------------------------+
 
</pre>
 
</pre>
Line 114: Line 113:
 
| Name            | Id                                  | Plugin name | Plugin version | Status  |
 
| Name            | Id                                  | Plugin name | Plugin version | Status  |
 
+------------------+--------------------------------------+-------------+----------------+----------+
 
+------------------+--------------------------------------+-------------+----------------+----------+
| cluster-91504a65 | 13418fd9-5d2a-4ee6-b384-cb250b7e7714 | spark      | 1.6.0          | Spawning |
+
| cluster-fcc8d055 | 5736d157-ac7c-41de-8aca-78f7afa7e99c | spark      | 1.6.0          | Spawning |
 
+------------------+--------------------------------------+-------------+----------------+----------+
 
+------------------+--------------------------------------+-------------+----------------+----------+
 
</pre>
 
</pre>
 
<pre>
 
<pre>
 
$ openstack server list (or nova list)
 
$ openstack server list (or nova list)
+--------------------------------------+----------------------------+--------+----------+------------+
+
+--------------------------------------+----------------------------+--------+------------+-------------+------------------+
| ID                                  | Name                      | Status | Networks | Image Name |
+
| ID                                  | Name                      | Status | Task State | Power State | Networks         |
+--------------------------------------+----------------------------+--------+----------+------------+
+
+--------------------------------------+----------------------------+--------+------------+-------------+------------------+
| 58818eb5-ade7-407c-8c76-9fd9809632b4 | cluster-91504a65-workers-1 | BUILD  |          | meteos     |
+
| 48a9f429-7756-4bed-8dd6-6dc6140ef897 | cluster-fcc8d055-master-| ACTIVE | -         | Running     | private=10.0.0.5 |
| a151dbd9-de51-43ca-afb8-1fdeecce2891 | cluster-91504a65-workers-0 | BUILD  |          | meteos     |
+
| 88ff2070-dfe8-45da-aa5c-02ac3e9de3b8 | cluster-fcc8d055-workers-0 | ACTIVE | -         | Running     | private=10.0.0.7 |
| d02d85c5-0960-4b7e-880c-26b73c5dd8ad | cluster-91504a65-master-| BUILD  |          | meteos     |
+
| a57dfa5d-8b55-47c7-aae7-d5b3c8779787 | cluster-fcc8d055-workers-1 | ACTIVE | -         | Running     | private=10.0.0.4 |
+--------------------------------------+----------------------------+--------+----------+------------+
+
+--------------------------------------+----------------------------+--------+------------+-------------+------------------+
 
</pre>
 
</pre>
  
Line 151: Line 150:
 
{
 
{
 
     "display_name": "word2vec-model",
 
     "display_name": "word2vec-model",
     "display_description": "Word2Vec Model",
+
     "display_description": "Sample Word2Vec Model",
 
     "source_dataset_url": "swift://meteos/openstack-ops-manual.txt",
 
     "source_dataset_url": "swift://meteos/openstack-ops-manual.txt",
 
     "model_type": "Word2Vec",
 
     "model_type": "Word2Vec",
     "model_params": "{'numIterations': 100}",
+
     "model_params": "{'numIterations': 200}",
     "experiment_id": "846d0f95-2e89-43b7-8d62-e61905b7af6a",
+
     "experiment_id": "fcc8d055-e801-4652-af8c-5aabedbf0286",
 
     "swift_tenant": "demo",
 
     "swift_tenant": "demo",
 
     "swift_username": "demo",
 
     "swift_username": "demo",
Line 166: Line 165:
 
| Property    | Value                                |
 
| Property    | Value                                |
 
+-------------+--------------------------------------+
 
+-------------+--------------------------------------+
| created_at  | 2016-12-13T07:35:50.000000          |
+
| created_at  | 2016-12-16T00:19:37.000000          |
| description | Word2Vec Model                |
+
| description | Sample Word2Vec Model                |
| id          | bb0effd9-a060-4a09-b11a-37806aab479c |
+
| id          | 86b7f4df-348d-4cea-88ea-dadabdadaad7 |
| name        | word2vec-model               |
+
| name        | word2vec-model                       |
| params      | eydudW1JdGVyYXRpb25zJzogMTAwfQ==    |
+
| params      | eydudW1JdGVyYXRpb25zJzogMjAwfQ==    |
| project_id  | b09a03e3aeb9435c854870b8582eb1ae     |
+
| project_id  | 4034bb3cd9324776a68c140fdd18baa4     |
 
| status      | creating                            |
 
| status      | creating                            |
 
| stderr      | None                                |
 
| stderr      | None                                |
 
| stdout      | None                                |
 
| stdout      | None                                |
 
| type        | Word2Vec                            |
 
| type        | Word2Vec                            |
| user_id    | 796f4000c6e84df9964b178ef55604f7     |
+
| user_id    | 64ad04e101df40b4b51e5f370a83412c     |
 
+-------------+--------------------------------------+
 
+-------------+--------------------------------------+
 
</pre>
 
</pre>
 
<pre>
 
<pre>
 
$ meteos model-list
 
$ meteos model-list
+--------------------------------------+----------------+----------------+----------+----------+-----------------------------------------+----------------------------+
+
+--------------------------------------+----------------+-----------+----------+-----------------------------------------+
| id                                  | name          | description   | status  | type    | source_dataset_url                      | created_at                |
+
| id                                  | name          | status   | type    | source_dataset_url                      |
+--------------------------------------+----------------+----------------+----------+----------+-----------------------------------------+----------------------------+
+
+--------------------------------------+----------------+-----------+----------+-----------------------------------------+
| bb0effd9-a060-4a09-b11a-37806aab479c | word2vec-model | Word2Vec Model | creating | Word2Vec | swift://meteos/openstack-ops-manual.txt | 2016-12-13T07:35:50.000000 |
+
| 86b7f4df-348d-4cea-88ea-dadabdadaad7 | word2vec-model | available | Word2Vec | swift://meteos/openstack-ops-manual.txt |
+--------------------------------------+----------------+----------------+----------+----------+-----------------------------------------+----------------------------+
+
+--------------------------------------+----------------+-----------+----------+-----------------------------------------+
 
</pre>
 
</pre>
 +
 +
=== 5. Create a learning job ===
 +
 +
Create learning job and retrieve synonyms and score.
 +
 +
You can specify a target word as 'word' parameter and a number of synonyms which you want to retrieve as 'num' parameter.
 +
 +
Retrieve a output data as a stdout of job execution.
 +
 +
In this example, you retrieve 'glance' and 'cinder' as a synonyms of 'keystone'.
 +
 +
<pre>
 +
$ vim sample/json/learning.json
 +
</pre>
 +
<pre>
 +
$ cat sample/json/learning.json
 +
{
 +
    "display_name": "example-learning-job",
 +
    "display_description": "This is a sample job",
 +
    "model_id": "86b7f4df-348d-4cea-88ea-dadabdadaad7",
 +
    "method": "predict",
 +
    "args": "{'word':'keystone', 'num':5}"
 +
}
 +
</pre>
 +
<pre>
 +
$ meteos learning-create --json sample/json/learning.json
 +
+-------------+------------------------------------------+
 +
| Property    | Value                                    |
 +
+-------------+------------------------------------------+
 +
| args        | eyd3b3JkJzona2V5c3RvbmUnLCAnbnVtJzo1fQ== |
 +
| created_at  | 2016-12-16T00:30:48.000000              |
 +
| description | This is a sample job                    |
 +
| id          | 1bbde56c-d069-4660-ab58-d02c7c55f14a    |
 +
| method      | predict                                  |
 +
| name        | example-learning-job                    |
 +
| project_id  | 4034bb3cd9324776a68c140fdd18baa4        |
 +
| status      | creating                                |
 +
| stderr      | None                                    |
 +
| stdout      | None                                    |
 +
| user_id    | 64ad04e101df40b4b51e5f370a83412c        |
 +
+-------------+------------------------------------------+
 +
</pre>
 +
<pre>
 +
$ meteos learning-list
 +
+--------------------------------------+----------------------+-----------+------------------------------+---------------------------+
 +
| id                                  | name                | status    | args                        | stdout                    |
 +
+--------------------------------------+----------------------+-----------+------------------------------+---------------------------+
 +
| 1bbde56c-d069-4660-ab58-d02c7c55f14a | example-learning-job | available | {'word':'keystone', 'num':5} | -e: 2.5969709909          |
 +
|                                      |                      |          |                              | glance: 2.35303451027    |
 +
|                                      |                      |          |                              | glance-api: 2.34089976854 |
 +
|                                      |                      |          |                              | screen: 2.32107789493    |
 +
|                                      |                      |          |                              | cinder: 2.30745373084    |
 +
+--------------------------------------+----------------------+-----------+------------------------------+---------------------------+
 +
</pre>
 +
 +
=== 6. Online Prediction ===
 +
 +
You can load a Prediction Model in advance for online prediction by using "meteos-load" command.
 +
 +
In online prediction, user can retrieve a predicted data immediately.
 +
 +
For more details, please see [https://wiki.openstack.org/wiki/Meteos/ExampleLinear#7._Online_Prediction here].

Latest revision as of 06:53, 10 January 2017

Search Synonyms by using Meteos

In this example, you create a prediction model which search synonyms by using Word2Vec Model.

Word2Vec.png

1. Create a experiment template

Create template of experiment. Experiment is a workspace of Machine Learning.

You have to confirm a glance image id of meteos image, and a neutron network id before creating a template.

You can use a format located in python-meteosclient/sample/json/template.json

$ glance image-list | grep meteos
| a6b7de0b-10ff-462c-9c86-25c8a5622a57 | meteos                          |
$ neutron net-list | grep public
| 4222b557-6d9f-405c-b1ff-0f454d2f35bf | public  | 1f979ae3-d6b7-4d03-ba0f-9d9112581783             |
$ vim sample/json/template.json
$ cat sample/json/template.json
{
    "display_name": "example-template",
    "display_description": "This is a sample template of experiment",
    "image_id" : "a6b7de0b-10ff-462c-9c86-25c8a5622a57",
    "master_nodes_num": 1,
    "master_flavor_id": "4",
    "worker_nodes_num": 2,
    "worker_flavor_id": "2",
    "spark_version": "1.6.0",
    "floating_ip_pool": "4222b557-6d9f-405c-b1ff-0f454d2f35bf"
}
$ meteos template-create --json sample/json/template.json
+---------------+-----------------------------------------+
| Property      | Value                                   |
+---------------+-----------------------------------------+
| cluster_id    | None                                    |
| created_at    | 2016-12-15T22:55:03.000000              |
| description   | This is a sample template of experiment |
| id            | d3180a78-74cc-432d-9e9d-68640b18abae    |
| master_flavor | 4                                       |
| master_nodes  | 1                                       |
| name          | example-template                        |
| project_id    | 4034bb3cd9324776a68c140fdd18baa4        |
| spark_version | 1.6.0                                   |
| status        | available                               |
| user_id       | 64ad04e101df40b4b51e5f370a83412c        |
| worker_flavor | 2                                       |
| worker_nodes  | 2                                       |
+---------------+-----------------------------------------+

2. Create a experiment from template

Create a experiment by using template created in the above step. You have to confirm a neutron private network id and create keypair before creating a template.

You can use a format located in python-meteosclient/sample/json/experiment.json

$ nova keypair-add key1 > ~/key1.pem && chmod 600 ~/key1.pem
$ neutron net-list | grep private
| e4fcc49c-48e5-48f8-9599-bb5eba1339c9 | private | e15c24a5-dfdd-4428-b27d-9827b35600c0 10.0.0.0/26 |
$ vim sample/json/experiment.json
$ cat sample/json/experiment.json
{
    "display_name": "example-experiment",
    "display_description": "This is a sample experiment",
    "key_name": "key1",
    "neutron_management_network": "e4fcc49c-48e5-48f8-9599-bb5eba1339c9",
    "template_id": "d3180a78-74cc-432d-9e9d-68640b18abae"
}
$ meteos experiment-create --json sample/json/experiment.json
+--------------------+--------------------------------------+
| Property           | Value                                |
+--------------------+--------------------------------------+
| created_at         | 2016-12-15T22:56:51.000000           |
| description        | This is a sample experiment          |
| id                 | fcc8d055-e801-4652-af8c-5aabedbf0286 |
| key_name           | key1                                 |
| management_network | e4fcc49c-48e5-48f8-9599-bb5eba1339c9 |
| name               | example-experiment                   |
| project_id         | 4034bb3cd9324776a68c140fdd18baa4     |
| status             | creating                             |
| user_id            | 64ad04e101df40b4b51e5f370a83412c     |
+--------------------+--------------------------------------+

Meteos creates a experiment using OpenStack Sahara spark plugin.

You can see a sahara cluster and nova VMs created by Meteos as below.

$ openstack dataprocessing cluster list (or sahara cluster-list)
+------------------+--------------------------------------+-------------+----------------+----------+
| Name             | Id                                   | Plugin name | Plugin version | Status   |
+------------------+--------------------------------------+-------------+----------------+----------+
| cluster-fcc8d055 | 5736d157-ac7c-41de-8aca-78f7afa7e99c | spark       | 1.6.0          | Spawning |
+------------------+--------------------------------------+-------------+----------------+----------+
$ openstack server list (or nova list)
+--------------------------------------+----------------------------+--------+------------+-------------+------------------+
| ID                                   | Name                       | Status | Task State | Power State | Networks         |
+--------------------------------------+----------------------------+--------+------------+-------------+------------------+
| 48a9f429-7756-4bed-8dd6-6dc6140ef897 | cluster-fcc8d055-master-0  | ACTIVE | -          | Running     | private=10.0.0.5 |
| 88ff2070-dfe8-45da-aa5c-02ac3e9de3b8 | cluster-fcc8d055-workers-0 | ACTIVE | -          | Running     | private=10.0.0.7 |
| a57dfa5d-8b55-47c7-aae7-d5b3c8779787 | cluster-fcc8d055-workers-1 | ACTIVE | -          | Running     | private=10.0.0.4 |
+--------------------------------------+----------------------------+--------+------------+-------------+------------------+

3. Upload a raw data

Upload a raw data (in this example, OpenStack Operations Guide) to OpenStack Swift.

$ sudo apt-get install poppler-utils
$ wget http://docs.openstack.org/openstack-ops/openstack-ops-manual.pdf
$ pdftotext openstack-ops-manual.pdf openstack-ops-manual.txt
$ swift upload meteos openstack-ops-manual.txt
openstack-ops-manual.txt

4. Create a prediction model

In this example, User creates a Word2Vec Model from dataset.

$ vim sample/json/model_word2vec.json
$ cat sample/json/model_word2vec.json
{
    "display_name": "word2vec-model",
    "display_description": "Sample Word2Vec Model",
    "source_dataset_url": "swift://meteos/openstack-ops-manual.txt",
    "model_type": "Word2Vec",
    "model_params": "{'numIterations': 200}",
    "experiment_id": "fcc8d055-e801-4652-af8c-5aabedbf0286",
    "swift_tenant": "demo",
    "swift_username": "demo",
    "swift_password": "nova"
}
$ meteos model-create --json sample/json/model_word2vec.json
+-------------+--------------------------------------+
| Property    | Value                                |
+-------------+--------------------------------------+
| created_at  | 2016-12-16T00:19:37.000000           |
| description | Sample Word2Vec Model                |
| id          | 86b7f4df-348d-4cea-88ea-dadabdadaad7 |
| name        | word2vec-model                       |
| params      | eydudW1JdGVyYXRpb25zJzogMjAwfQ==     |
| project_id  | 4034bb3cd9324776a68c140fdd18baa4     |
| status      | creating                             |
| stderr      | None                                 |
| stdout      | None                                 |
| type        | Word2Vec                             |
| user_id     | 64ad04e101df40b4b51e5f370a83412c     |
+-------------+--------------------------------------+
$ meteos model-list
+--------------------------------------+----------------+-----------+----------+-----------------------------------------+
| id                                   | name           | status    | type     | source_dataset_url                      |
+--------------------------------------+----------------+-----------+----------+-----------------------------------------+
| 86b7f4df-348d-4cea-88ea-dadabdadaad7 | word2vec-model | available | Word2Vec | swift://meteos/openstack-ops-manual.txt |
+--------------------------------------+----------------+-----------+----------+-----------------------------------------+

5. Create a learning job

Create learning job and retrieve synonyms and score.

You can specify a target word as 'word' parameter and a number of synonyms which you want to retrieve as 'num' parameter.

Retrieve a output data as a stdout of job execution.

In this example, you retrieve 'glance' and 'cinder' as a synonyms of 'keystone'.

$ vim sample/json/learning.json
$ cat sample/json/learning.json
{
    "display_name": "example-learning-job",
    "display_description": "This is a sample job",
    "model_id": "86b7f4df-348d-4cea-88ea-dadabdadaad7",
    "method": "predict",
    "args": "{'word':'keystone', 'num':5}"
}
$ meteos learning-create --json sample/json/learning.json
+-------------+------------------------------------------+
| Property    | Value                                    |
+-------------+------------------------------------------+
| args        | eyd3b3JkJzona2V5c3RvbmUnLCAnbnVtJzo1fQ== |
| created_at  | 2016-12-16T00:30:48.000000               |
| description | This is a sample job                     |
| id          | 1bbde56c-d069-4660-ab58-d02c7c55f14a     |
| method      | predict                                  |
| name        | example-learning-job                     |
| project_id  | 4034bb3cd9324776a68c140fdd18baa4         |
| status      | creating                                 |
| stderr      | None                                     |
| stdout      | None                                     |
| user_id     | 64ad04e101df40b4b51e5f370a83412c         |
+-------------+------------------------------------------+
$ meteos learning-list
+--------------------------------------+----------------------+-----------+------------------------------+---------------------------+
| id                                   | name                 | status    | args                         | stdout                    |
+--------------------------------------+----------------------+-----------+------------------------------+---------------------------+
| 1bbde56c-d069-4660-ab58-d02c7c55f14a | example-learning-job | available | {'word':'keystone', 'num':5} | -e: 2.5969709909          |
|                                      |                      |           |                              | glance: 2.35303451027     |
|                                      |                      |           |                              | glance-api: 2.34089976854 |
|                                      |                      |           |                              | screen: 2.32107789493     |
|                                      |                      |           |                              | cinder: 2.30745373084     |
+--------------------------------------+----------------------+-----------+------------------------------+---------------------------+

6. Online Prediction

You can load a Prediction Model in advance for online prediction by using "meteos-load" command.

In online prediction, user can retrieve a predicted data immediately.

For more details, please see here.