[mlpack-git] [mlpack] ANN Saving the network and reloading (#531)

sudarshan notifications at github.com
Tue Mar 1 08:48:37 EST 2016


Thank you.
If the serialization hasn't completed yet, what does the data stored in the test XML file represent (see below)? And once the serialization is finished, what details will be stored in the XML file? 

If the various parameters of the FFN (such as input layers, hidden layers, outputlayer type etc) is stored in the XML file then we can definitely specify the type of network that will be loaded by just looking at the file. If not, I'm still not a 100% sure how to specify the type of network to load when the type is decided just before saving it.

Thanks.

```
<?xml version="1.0" encoding="UTF-8" standalone="yes" ?>
<!DOCTYPE boost_serialization>
<boost_serialization signature="serialization::archive" version="10">
<parameter class_id="0" tracking_level="1" version="0" object_id="_0">
	<n_rows>203</n_rows>
	<n_cols>1</n_cols>
	<n_elem>203</n_elem>
	<vec_state>0</vec_state>
	<item>-0.16960125232877565</item>
	<item>0.24735236041378075</item>
	<item>0.002766670129351563</item>
	<item>-0.19591114961641509</item>
	<item>-0.089737718232213742</item>
	<item>-0.17892329578751906</item>
	<item>-0.87561555897261822</item>
	<item>0.60517609568085684</item>
	<item>0.60969001498519482</item>
	<item>-0.34192157359063585</item>
	<item>0.096796056078446865</item>
	<item>0.50302726271757325</item>
	<item>0.16059196341625362</item>
	<item>0.1920232169745838</item>
	<item>0.61379467397984055</item>
	<item>0.719987692298378</item>
	<item>7.9112473762668483</item>
	<item>10.739234161895087</item>
	<item>-1.0400511893084701</item>
	<item>4.7481340689437195</item>
	<item>3.3553232328552802</item>
	<item>-2.384153180489553</item>
	<item>1.5788595362804594</item>
	<item>6.1803814575829144</item>
	<item>1.9873670350436798</item>
	<item>4.0695654255577836</item>
	<item>-0.4845686612882501</item>
	<item>5.8621901052967775</item>
	<item>3.0425400099270541</item>
	<item>1.1503520133176406</item>
	<item>0.73072398364933522</item>
	<item>1.171102559216296</item>
	<item>8.2134501892960596</item>
	<item>9.0212173995664902</item>
	<item>-2.3766010107393276</item>
	<item>7.8818573127885747</item>
	<item>7.8042502078070539</item>
	<item>0.65198964695885098</item>
	<item>7.0973711468836465</item>
	<item>7.3694018269119379</item>
	<item>2.7651890925707221</item>
	<item>-0.50670655871364334</item>
	<item>0.57123634403294732</item>
	<item>5.2894678882131227</item>
	<item>1.4615080403540375</item>
	<item>0.73352824742917044</item>
	<item>5.5518960510516697</item>
	<item>2.3265792476443981</item>
	<item>9.5737501224328252</item>
	<item>10.106788984177399</item>
	<item>-3.0981770870534429</item>
	<item>8.6852767640367023</item>
	<item>9.0124299678676003</item>
	<item>0.16661617769189099</item>
	<item>7.9890910723736193</item>
	<item>8.8190955179112684</item>
	<item>6.4320123425661651</item>
	<item>8.5455527069361068</item>
	<item>-1.8857914354933081</item>
	<item>6.4260206364723995</item>
	<item>5.0440364299774778</item>
	<item>-1.5047728226105581</item>
	<item>4.7938627008552563</item>
	<item>5.9273264748165628</item>
	<item>1.8797420335864743</item>
	<item>2.0364872050934966</item>
	<item>-0.47155410343535081</item>
	<item>-0.12782638565534488</item>
	<item>-0.10998911030390481</item>
	<item>0.97465924937323933</item>
	<item>0.47975347270377344</item>
	<item>1.168568332502512</item>
	<item>0.60008045967998658</item>
	<item>0.019222501440005139</item>
	<item>-0.021672141807848384</item>
	<item>-1.252630916531595</item>
	<item>-0.097241477953354069</item>
	<item>0.70291553764548376</item>
	<item>2.2025632575224754</item>
	<item>0.40650962697342902</item>
	<item>-0.22561763776076738</item>
	<item>0.39384451687303151</item>
	<item>-0.17361228574714824</item>
	<item>-0.5199806559715765</item>
	<item>0.83091961188507235</item>
	<item>-0.24047364182865358</item>
	<item>1.7241631105417219</item>
	<item>-0.78218688514504298</item>
	<item>5.3066278729164917</item>
	<item>7.5099106487317053</item>
	<item>-0.70891925138053147</item>
	<item>6.5476895355216582</item>
	<item>5.6917475299626128</item>
	<item>-0.36751551723851622</item>
	<item>4.9334183028610639</item>
	<item>5.0084120472932767</item>
	<item>9.4484913394320955</item>
	<item>9.8555537249101892</item>
	<item>-1.9133086392020289</item>
	<item>8.9928311306059729</item>
	<item>8.9451815676509696</item>
	<item>-0.94191145330271786</item>
	<item>8.1682989867608757</item>
	<item>8.760458785260516</item>
	<item>0.69777102144766778</item>
	<item>0.27645541902550813</item>
	<item>-0.16812935366126661</item>
	<item>-0.22542811636274707</item>
	<item>0.6697669372537054</item>
	<item>0.11729341348429148</item>
	<item>0.61337292177845804</item>
	<item>0.18790058093596174</item>
	<item>0.78744875879087428</item>
	<item>0.4799081500823843</item>
	<item>-0.96877692934707182</item>
	<item>0.50019884309588447</item>
	<item>0.94734253900168663</item>
	<item>-0.75924885416229315</item>
	<item>0.15119633244481448</item>
	<item>1.5577262664137852</item>
	<item>5.6510894684568402</item>
	<item>8.9371838216149762</item>
	<item>0.18583462713199048</item>
	<item>8.9364387793651172</item>
	<item>2.0934534392315935</item>
	<item>0.94509111366623144</item>
	<item>5.90257541758979</item>
	<item>5.4027307627194148</item>
	<item>-92.794495276154677</item>
	<item>-62.680250338712391</item>
	<item>77.953464376372096</item>
	<item>-75.372443255054151</item>
	<item>-90.224768157491056</item>
	<item>53.101571255717261</item>
	<item>-36.555959697791572</item>
	<item>-87.138253194827982</item>
	<item>8.322123565714497</item>
	<item>9.9510578937908107</item>
	<item>-4.556132213635502</item>
	<item>14.853496824597995</item>
	<item>12.652218729214278</item>
	<item>-12.345521114124551</item>
	<item>15.900887550046255</item>
	<item>8.3519732828180544</item>
	<item>0.7536657101716463</item>
	<item>7.1055826465525209</item>
	<item>6.2801069319637008</item>
	<item>5.6671971919480546</item>
	<item>6.4084818958795475</item>
	<item>-7.507783350746779</item>
	<item>17.156048814257883</item>
	<item>2.099739807708044</item>
	<item>-3.756886195961513</item>
	<item>-3.4068944862116841</item>
	<item>-1.2540835144936884</item>
	<item>-3.6790045136741987</item>
	<item>-2.8178792131365489</item>
	<item>0.52257005528400469</item>
	<item>-3.7451396126638925</item>
	<item>-0.6626793054506358</item>
	<item>3.9386956936956627</item>
	<item>10.023837709028429</item>
	<item>4.2373332482912671</item>
	<item>7.1170672495013472</item>
	<item>8.8307831465048299</item>
	<item>-11.210201007506946</item>
	<item>20.978713676818458</item>
	<item>3.8321915040385477</item>
	<item>0.031369252284853925</item>
	<item>-2.6520049890641033</item>
	<item>-1.2321681723778659</item>
	<item>-2.0078191813642201</item>
	<item>-1.8913548049718829</item>
	<item>0.12321210123504424</item>
	<item>-0.68338025153016868</item>
	<item>0.89422473130353086</item>
	<item>0.49745279608906773</item>
	<item>-5.8405988046460013</item>
	<item>4.1809096367479679</item>
	<item>-3.1875535351866682</item>
	<item>-7.0342570935057021</item>
	<item>0.802215134332949</item>
	<item>-0.52734998972248304</item>
	<item>4.124616881915939</item>
	<item>-15.922179111090651</item>
	<item>-5.6089548079115543</item>
	<item>-7.0219586167896733</item>
	<item>-1.3772120985778924</item>
	<item>-7.25360327470099</item>
	<item>-7.6735511605066025</item>
	<item>4.3009281234161545</item>
	<item>4.2914933362983136</item>
	<item>-6.7083963515694078</item>
	<item>-12.084011679696763</item>
	<item>-6.2604169323300969</item>
	<item>7.1783866309608104</item>
	<item>2.4982933456808589</item>
	<item>1.6306936177723779</item>
	<item>-0.071443315366760782</item>
	<item>6.288580948192922</item>
	<item>1.8042152941857585</item>
	<item>-1.2673559241642001</item>
	<item>0.73417228083721497</item>
</parameter>
</boost_serialization>
```

---
Reply to this email directly or view it on GitHub:
https://github.com/mlpack/mlpack/issues/531#issuecomment-190729953
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.cc.gatech.edu/pipermail/mlpack-git/attachments/20160301/28e7b0ee/attachment.html>


More information about the mlpack-git mailing list