{"action":"created","comment":{"url":"https://api.github.com/repos/dwavesystems/dimod/pulls/comments/243362643","pull_request_review_id":187113602,"id":243362643,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDI0MzM2MjY0Mw==","diff_hunk":"@@ -2048,6 +2048,43 @@ def from_qubo(cls, Q, offset=0.0):\n \n         return cls(linear, quadratic, offset, Vartype.BINARY)\n \n+    @classmethod\n+    def from_markov_random_field(cls, edges):\n+        \"\"\"\n+\n+\n+        Examples:\n+            >>> fixed = {'n01': 1, 'n03': 0. }\n+            >>> edges = [['n01', 'n02', 3.0, 4.0, -6.0, 2.0], \n+                         ['n02', 'n04', 5.0, -1.0, -4.0, 2.0], \n+                         ['n03', 'n04', 1.0, 6.0, -6.0, 2.0], \n+                         ['n03', 'n05', -4.0, -3.0, 6.0, 5.0]]\n+            ...\n+            >>> # generate the markov network in a form that can be solved\n+            >>> network = dimod.BinaryQuadraticModel.from_markov_random_field(edges)\n+            ...\n+            >>> # next we want to clamp/fix some of the variables\n+            >>> clamped = network.copy()\n+            >>> clamped.fix_variables(fixed)\n+            ...\n+            >>> # sample\n+            >>> samples = dimod.ExactSolver().sample(clamped)\n+            >>> samples.first\n+            Sample(sample={'n02': 0, 'n04': 1, 'n05': 0}, energy=-1.0, num_occurrences=1)","path":"dimod/binary_quadratic_model.py","position":26,"original_position":26,"commit_id":"4de4fd5400d1e5e77c933bd01360a7bfc1f85af9","original_commit_id":"4de4fd5400d1e5e77c933bd01360a7bfc1f85af9","user":{"login":"arcondello","id":8395238,"node_id":"MDQ6VXNlcjgzOTUyMzg=","avatar_url":"https://avatars0.githubusercontent.com/u/8395238?v=4","gravatar_id":"","url":"https://api.github.com/users/arcondello","html_url":"https://github.com/arcondello","followers_url":"https://api.github.com/users/arcondello/followers","following_url":"https://api.github.com/users/arcondello/following{/other_user}","gists_url":"https://api.github.com/users/arcondello/gists{/gist_id}","starred_url":"https://api.github.com/users/arcondello/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/arcondello/subscriptions","organizations_url":"https://api.github.com/users/arcondello/orgs","repos_url":"https://api.github.com/users/arcondello/repos","events_url":"https://api.github.com/users/arcondello/events{/privacy}","received_events_url":"https://api.github.com/users/arcondello/received_events","type":"User","site_admin":false},"body":"Yeah, I just added a simple `to_dataframe` method (see #334 ). For now it would be simple to append the df, but in the future we want to add a\r\n```\r\nsamples = FixVariablesComposite(SimulatedAnnealingSampler()).sample(bqm)\r\n```\r\nwhich adds them back in to the record.","created_at":"2018-12-20T17:53:13Z","updated_at":"2018-12-20T17:53:13Z","html_url":"https://github.com/dwavesystems/dimod/pull/333#discussion_r243362643","pull_request_url":"https://api.github.com/repos/dwavesystems/dimod/pulls/333","author_association":"MEMBER","_links":{"self":{"href":"https://api.github.com/repos/dwavesystems/dimod/pulls/comments/243362643"},"html":{"href":"https://github.com/dwavesystems/dimod/pull/333#discussion_r243362643"},"pull_request":{"href":"https://api.github.com/repos/dwavesystems/dimod/pulls/333"}},"in_reply_to_id":243352965},"pull_request":{"url":"https://api.github.com/repos/dwavesystems/dimod/pulls/333","id":240244217,"node_id":"MDExOlB1bGxSZXF1ZXN0MjQwMjQ0MjE3","html_url":"https://github.com/dwavesystems/dimod/pull/333","diff_url":"https://github.com/dwavesystems/dimod/pull/333.diff","patch_url":"https://github.com/dwavesystems/dimod/pull/333.patch","issue_url":"https://api.github.com/repos/dwavesystems/dimod/issues/333","number":333,"state":"open","locked":false,"title":"WIP: markov-network","user":{"login":"arcondello","id":8395238,"node_id":"MDQ6VXNlcjgzOTUyMzg=","avatar_url":"https://avatars0.githubusercontent.com/u/8395238?v=4","gravatar_id":"","url":"https://api.github.com/users/arcondello","html_url":"https://github.com/arcondello","followers_url":"https://api.github.com/users/arcondello/followers","following_url":"https://api.github.com/users/arcondello/following{/other_user}","gists_url":"https://api.github.com/users/arcondello/gists{/gist_id}","starred_url":"https://api.github.com/users/arcondello/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/arcondello/subscriptions","organizations_url":"https://api.github.com/users/arcondello/orgs","repos_url":"https://api.github.com/users/arcondello/repos","events_url":"https://api.github.com/users/arcondello/events{/privacy}","received_events_url":"https://api.github.com/users/arcondello/received_events","type":"User","site_admin":false},"body":"Before I finished off documentation and tests I wanted to make sure that this meets the requirements.\r\n\r\nI have provided the following example to see how it lines up with https://github.com/dwavesystems/markov-network#example\r\n```\r\n            >>> fixed = {'n01': 1, 'n03': 0. }\r\n            >>> edges = [['n01', 'n02', 3.0, 4.0, -6.0, 2.0], \r\n                         ['n02', 'n04', 5.0, -1.0, -4.0, 2.0], \r\n                         ['n03', 'n04', 1.0, 6.0, -6.0, 2.0], \r\n                         ['n03', 'n05', -4.0, -3.0, 6.0, 5.0]]\r\n            ...\r\n            >>> # generate the markov network in a form that can be solved\r\n            >>> network = dimod.BinaryQuadraticModel.from_markov_random_field(edges)\r\n            ...\r\n            >>> # next we want to clamp/fix some of the variables\r\n            >>> clamped = network.copy()\r\n            >>> clamped.fix_variables(fixed)\r\n            ...\r\n            >>> # sample\r\n            >>> samples = dimod.ExactSolver().sample(clamped)\r\n            >>> samples.first\r\n            Sample(sample={'n02': 0, 'n04': 1, 'n05': 0}, energy=-1.0, num_occurrences=1)\r\n```\r\n\r\nOne piece that is missing is the export to pandas dataframe. See #332","created_at":"2018-12-20T17:18:09Z","updated_at":"2018-12-20T17:53:13Z","closed_at":null,"merged_at":null,"merge_commit_sha":"00f95ba00a3585e6a5bb6e0138d2c0232a41fd2d","assignee":{"login":"arcondello","id":8395238,"node_id":"MDQ6VXNlcjgzOTUyMzg=","avatar_url":"https://avatars0.githubusercontent.com/u/8395238?v=4","gravatar_id":"","url":"https://api.github.com/users/arcondello","html_url":"https://github.com/arcondello","followers_url":"https://api.github.com/users/arcondello/followers","following_url":"https://api.github.com/users/arcondello/following{/other_user}","gists_url":"https://api.github.com/users/arcondello/gists{/gist_id}","starred_url":"https://api.github.com/users/arcondello/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/arcondello/subscriptions","organizations_url":"https://api.github.com/users/arcondello/orgs","repos_url":"https://api.github.com/users/arcondello/repos","events_url":"https://api.github.com/users/arcondello/events{/privacy}","received_events_url":"https://api.github.com/users/arcondello/received_events","type":"User","site_admin":false},"assignees":[{"login":"arcondello","id":8395238,"node_id":"MDQ6VXNlcjgzOTUyMzg=","avatar_url":"https://avatars0.githubusercontent.com/u/8395238?v=4","gravatar_id":"","url":"https://api.github.com/users/arcondello","html_url":"https://github.com/arcondello","followers_url":"https://api.github.com/users/arcondello/followers","following_url":"https://api.github.com/users/arcondello/following{/other_user}","gists_url":"https://api.github.com/users/arcondello/gists{/gist_id}","starred_url":"https://api.github.com/users/arcondello/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/arcondello/subscriptions","organizations_url":"https://api.github.com/users/arcondello/orgs","repos_url":"https://api.github.com/users/arcondello/repos","events_url":"https://api.github.com/users/arcondello/events{/privacy}","received_events_url":"https://api.github.com/users/arcondello/received_events","type":"User","site_admin":false}],"requested_reviewers":[{"login":"randomir","id":447371,"node_id":"MDQ6VXNlcjQ0NzM3MQ==","avatar_url":"https://avatars1.githubusercontent.com/u/447371?v=4","gravatar_id":"","url":"https://api.github.com/users/randomir","html_url":"https://github.com/randomir","followers_url":"https://api.github.com/users/randomir/followers","following_url":"https://api.github.com/users/randomir/following{/other_user}","gists_url":"https://api.github.com/users/randomir/gists{/gist_id}","starred_url":"https://api.github.com/users/randomir/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/randomir/subscriptions","organizations_url":"https://api.github.com/users/randomir/orgs","repos_url":"https://api.github.com/users/randomir/repos","events_url":"https://api.github.com/users/randomir/events{/privacy}","received_events_url":"https://api.github.com/users/randomir/received_events","type":"User","site_admin":false},{"login":"mwbooth","id":5054741,"node_id":"MDQ6VXNlcjUwNTQ3NDE=","avatar_url":"https://avatars0.githubusercontent.com/u/5054741?v=4","gravatar_id":"","url":"https://api.github.com/users/mwbooth","html_url":"https://github.com/mwbooth","followers_url":"https://api.github.com/users/mwbooth/followers","following_url":"https://api.github.com/users/mwbooth/following{/other_user}","gists_url":"https://api.github.com/users/mwbooth/gists{/gist_id}","starred_url":"https://api.github.com/users/mwbooth/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mwbooth/subscriptions","organizations_url":"https://api.github.com/users/mwbooth/orgs","repos_url":"https://api.github.com/users/mwbooth/repos","events_url":"https://api.github.com/users/mwbooth/events{/privacy}","received_events_url":"https://api.github.com/users/mwbooth/received_events","type":"User","site_admin":false},{"login":"spreinhardt","id":22921589,"node_id":"MDQ6VXNlcjIyOTIxNTg5","avatar_url":"https://avatars3.githubusercontent.com/u/22921589?v=4","gravatar_id":"","url":"https://api.github.com/users/spreinhardt","html_url":"https://github.com/spreinhardt","followers_url":"https://api.github.com/users/spreinhardt/followers","following_url":"https://api.github.com/users/spreinhardt/following{/other_user}","gists_url":"https://api.github.com/users/spreinhardt/gists{/gist_id}","starred_url":"https://api.github.com/users/spreinhardt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/spreinhardt/subscriptions","organizations_url":"https://api.github.com/users/spreinhardt/orgs","repos_url":"https://api.github.com/users/spreinhardt/repos","events_url":"https://api.github.com/users/spreinhardt/events{/privacy}","received_events_url":"https://api.github.com/users/spreinhardt/received_events","type":"User","site_admin":false}],"requested_teams":[],"labels":[{"id":671174572,"node_id":"MDU6TGFiZWw2NzExNzQ1NzI=","url":"https://api.github.com/repos/dwavesystems/dimod/labels/enhancement","name":"enh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