Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel
Resources  
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Explore Pricing
Product  
Data Engine LLMs Platform Enterprise
Connect to Dagshub Discord channel
Register
Login

ashish1610dhiman
/
learning_norms_with_mcmc_from_pcfg_IJCAI21
mirror of https://github.com/ashish1610dhiman/learning_norms_with_mcmc_from_pcfg_IJCAI21.git

Watch 1
Issues   Discussions 0 Invite collaborators

dvc.lock 4.8 KB
Permalink History Raw

You have to be logged in to leave a comment. Sign In
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212 
  1. gen_env:
    2. 

  2.   cmd: python scripts/gen_env.py
    3. 

  3.   deps:
    4. 

  4.   - path: data/default_env.pickle
    5. 

  5.     md5: 9000eb1823d338d732bd357a43f5b1ed
    6. 

  6.     size: 3260
    7. 

  7.   outs:
    8. 

  8.   - path: data/env.pickle
    9. 

  9.     md5: 9000eb1823d338d732bd357a43f5b1ed
    10. 

  10. gen_observations:
    11. 

  11.   cmd: python scripts/gen_observations.py
    12. 

  12.   deps:
    13. 

  13.   - path: data/env.pickle
    14. 

  14.     md5: 9000eb1823d338d732bd357a43f5b1ed
    15. 

  15.   params:
    16. 

  16.     params.yaml:
    17. 

  17.       num_observations: 50
    18. 

  18.       obs_data_set: 1
    19. 

  19.       target_area: -0.8, 0.7 ; 0.25, 0.99
    20. 

  20.       true_norm:
    21. 

  21.         name: default
    22. 

  22.         exp:
    23. 

  23.         - Norms
    24. 

  24.         - - Obl
    25. 

  25.           - - Moved
    26. 

  26.             - - Colour
    27. 

  27.               - r
    28. 

  28.             - - Shape
    29. 

  29.               - any
    30. 

  30.             - - Zone
    31. 

  31.               - '1'
    32. 

  32.             - - Next-Move
    33. 

  33.               - - Colour
    34. 

  34.                 - any
    35. 

  35.               - - Shape
    36. 

  36.                 - any
    37. 

  37.           - - Zone
    38. 

  38.             - '2'
    39. 

  39.         - - Per
    40. 

  40.           - - Action
    41. 

  41.             - putdown
    42. 

  42.           - - Colour
    43. 

  43.             - any
    44. 

  44.           - - Shape
    45. 

  45.             - square
    46. 

  46.           - - PerZone
    47. 

  47.             - '3'
    48. 

  48.   outs:
    49. 

  49.   - path: data/observations.pickle
    50. 

  50.     md5: cbad2e4441200d05bbe6db46c58e1eb6
    51. 

  51. gen_mcmc_chains:
    52. 

  52.   cmd: python scripts/gen_mcmc_chains.py
    53. 

  53.   deps:
    54. 

  54.   - path: data/env.pickle
    55. 

  55.     md5: 9000eb1823d338d732bd357a43f5b1ed
    56. 

  56.   - path: data/observations.pickle
    57. 

  57.     md5: cbad2e4441200d05bbe6db46c58e1eb6
    58. 

  58.   params:
    59. 

  59.     params.yaml:
    60. 

  60.       colour_specific:
    61. 

  61.       - r
    62. 

  62.       - g
    63. 

  63.       - b
    64. 

  64.       m: 10
    65. 

  65.       n: 1000
    66. 

  66.       rf: 0.6
    67. 

  67.       shape_specific:
    68. 

  68.       - square
    69. 

  69.       - circle
    70. 

  70.       - triangle
    71. 

  71.       target_area: -0.8, 0.7 ; 0.25, 0.99
    72. 

  72.   outs:
    73. 

  73.   - path: data/chains_and_log_posteriors.pickle
    74. 

  74.     md5: c6d05742e6aaa7b427df58e07f7abe35
    75. 

  75. analyse_chains:
    76. 

  76.   cmd: python scripts/analyse_chains.py
    77. 

  77.   deps:
    78. 

  78.   - path: data/chains_and_log_posteriors.pickle
    79. 

  79.     md5: c6d05742e6aaa7b427df58e07f7abe35
    80. 

  80.   - path: data/env.pickle
    81. 

  81.     md5: 9000eb1823d338d732bd357a43f5b1ed
    82. 

  82.   - path: data/observations.pickle
    83. 

  83.     md5: cbad2e4441200d05bbe6db46c58e1eb6
    84. 

  84.   params:
    85. 

  85.     params.yaml:
    86. 

  86.       colour_specific:
    87. 

  87.       - r
    88. 

  88.       - g
    89. 

  89.       - b
    90. 

  90.       m: 10
    91. 

  91.       n: 1000
    92. 

  92.       rf: 0.6
    93. 

  93.       shape_specific:
    94. 

  94.       - square
    95. 

  95.       - circle
    96. 

  96.       - triangle
    97. 

  97.       target_area: -0.8, 0.7 ; 0.25, 0.99
    98. 

  98.   outs:
    99. 

  99.   - path: metrics/chain_info.txt
    100. 

  100.     md5: 32e18049476a8474d8d7e6ee98a2b07b
    101. 

  101.   - path: metrics/chain_posteriors.csv
    102. 

  102.     md5: cd41fca09f79f598ad20264c73ffc83e
    103. 

  103. conv_test:
    104. 

  104.   cmd: python scripts/conv_test.py
    105. 

  105.   deps:
    106. 

  106.   - path: data/chains_and_log_posteriors.pickle
    107. 

  107.     md5: c6d05742e6aaa7b427df58e07f7abe35
    108. 

  108.   params:
    109. 

  109.     params.yaml:
    110. 

  110.       rhat_step_size: 50
    111. 

  111.   outs:
    112. 

  112.   - path: data/posterior.pickle
    113. 

  113.     md5: eceae85c1dd315c89380750df0ae0af7
    114. 

  114.   - path: metrics/conv_test.txt
    115. 

  115.     md5: a111df448fc0e0bb7037d11a77989085
    116. 

  116. extract_top_norms:
    117. 

  117.   cmd: python scripts/extract_top_norms.py
    118. 

  118.   deps:
    119. 

  119.   - path: data/env.pickle
    120. 

  120.     md5: 9000eb1823d338d732bd357a43f5b1ed
    121. 

  121.   - path: data/posterior.pickle
    122. 

  122.     md5: eceae85c1dd315c89380750df0ae0af7
    123. 

  123.   - path: metrics/chain_posteriors.csv
    124. 

  124.     md5: cd41fca09f79f598ad20264c73ffc83e
    125. 

  125.   params:
    126. 

  126.     params.yaml:
    127. 

  127.       colour_specific:
    128. 

  128.       - r
    129. 

  129.       - g
    130. 

  130.       - b
    131. 

  131.       shape_specific:
    132. 

  132.       - square
    133. 

  133.       - circle
    134. 

  134.       - triangle
    135. 

  135.       target_area: -0.8, 0.7 ; 0.25, 0.99
    136. 

  136.       true_norm:
    137. 

  137.         name: default
    138. 

  138.         exp:
    139. 

  139.         - Norms
    140. 

  140.         - - Obl
    141. 

  141.           - - Moved
    142. 

  142.             - - Colour
    143. 

  143.               - r
    144. 

  144.             - - Shape
    145. 

  145.               - any
    146. 

  146.             - - Zone
    147. 

  147.               - '1'
    148. 

  148.             - - Next-Move
    149. 

  149.               - - Colour
    150. 

  150.                 - any
    151. 

  151.               - - Shape
    152. 

  152.                 - any
    153. 

  153.           - - Zone
    154. 

  154.             - '2'
    155. 

  155.         - - Per
    156. 

  156.           - - Action
    157. 

  157.             - putdown
    158. 

  158.           - - Colour
    159. 

  159.             - any
    160. 

  160.           - - Shape
    161. 

  161.             - square
    162. 

  162.           - - PerZone
    163. 

  163.             - '3'
    164. 

  164.   outs:
    165. 

  165.   - path: data/top_norms.pickle
    166. 

  166.     md5: 480b3c4b3f2023169b562047c4aa3979
    167. 

  167.   - path: metrics/precision_recall.txt
    168. 

  168.     md5: b146de9e0c82c071904e6ce136c5acfd
    169. 

  169. test_obs_log_likelihood1:
    170. 

  170.   cmd: python scripts/test_obs_likelihood.py none true
    171. 

  171.   deps:
    172. 

  172.   - path: data/env.pickle
    173. 

  173.     md5: 9000eb1823d338d732bd357a43f5b1ed
    174. 

  174.   - path: data/observations.pickle
    175. 

  175.     md5: cbad2e4441200d05bbe6db46c58e1eb6
    176. 

  176.   params:
    177. 

  177.     params.yaml:
    178. 

  178.       true_norm.exp:
    179. 

  179.       - Norms
    180. 

  180.       - - Obl
    181. 

  181.         - - Moved
    182. 

  182.           - - Colour
    183. 

  183.             - r
    184. 

  184.           - - Shape
    185. 

  185.             - any
    186. 

  186.           - - Zone
    187. 

  187.             - '1'
    188. 

  188.           - - Next-Move
    189. 

  189.             - - Colour
    190. 

  190.               - any
    191. 

  191.             - - Shape
    192. 

  192.               - any
    193. 

  193.         - - Zone
    194. 

  194.           - '2'
    195. 

  195.       - - Per
    196. 

  196.         - - Action
    197. 

  197.           - putdown
    198. 

  198.         - - Colour
    199. 

  199.           - any
    200. 

  200.         - - Shape
    201. 

  201.           - square
    202. 

  202.         - - PerZone
    203. 

  203.           - '3'
    204. 

  204. test_obs_log_likelihood2:
    205. 

  205.   cmd: python scripts/test_obs_likelihood.py top
    206. 

  206.   deps:
    207. 

  207.   - path: data/env.pickle
    208. 

  208.     md5: 9000eb1823d338d732bd357a43f5b1ed
    209. 

  209.   - path: data/observations.pickle
    210. 

  210.     md5: 0772d00f8357fc852891427de1690a36
    211. 

  211.   - path: data/top_norms.pickle
    212. 

  212.     md5: fc5c7172b3c8b376c5f080ed31cceed9
    213.
Prev
Next
Tip!

Press p or to see the previous file or, n or to see the next file

Comments

Write Preview
Loading...
Integrate Google Cloud Storage
Use Google Storage
Select bucket
Upload key
Finish

Use Google Cloud Storage!

Browsing data directories saved to Google Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Google Storage bucket

Service Account Key

Congratulations!

learning_norms_with_mcmc_from_pcfg_IJCAI21 is now integrated with Google Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate AWS S3
Use S3 remote
Select bucket
Access key
Finish

Use AWS S3 as storage!

Browsing data directories saved to S3 is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your S3 bucket

Access key (If needed)

Congratulations!

learning_norms_with_mcmc_from_pcfg_IJCAI21 is now integrated with AWS S3!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate S3 compatible storage
Use S3 like remote
Select bucket
Access key
Finish

Use any S3 compatible storage!

Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your S3 bucket

Access key (If needed)

Congratulations!

learning_norms_with_mcmc_from_pcfg_IJCAI21 is now integrated with your S3 compatible storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate Azure Cloud Storage
Use Azure Storage
Select bucket
Set key
Finish

Use Azure Cloud Storage!

Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Azure Storage bucket

Access key (If needed)

Congratulations!

learning_norms_with_mcmc_from_pcfg_IJCAI21 is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes