6e31785235d44054f8b449a1a388a6d524ee70df,kraken/ketos.py,,train,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,84

Before Change


            if ctx.meta["verbose"] < 3:
                click.echo("")
            click.echo(u"[{:2.4f}] Accuracy report ({}) {:0.4f} {} {}".format(time.time() - st_time, epoch, (c-e)/c, c, e))
        for trial, (input, target) in enumerate(train_loader):
            input = input.requires_grad_()
            o = nn.nn(input)
            // height should be 1 by now
            if o.size(2) != 1:
                raise KrakenInputException("Expected dimension 3 to be 1, actual {}".format(output.size()))
            o = o.squeeze(2)
            optim.zero_grad()
            loss = nn.criterion(o, target)
            loss.backward()
            optim.step()
            spin("Training")


@cli.command("extract")
@click.pass_context
@click.option("-u", "--normalization",
              type=click.Choice(["NFD", "NFKD", "NFC", "NFKC"]), default=None,

After Change


            if ctx.meta["verbose"] < 3:
                click.echo("")
            click.echo(u"[{:2.4f}] Accuracy report ({}) {:0.4f} {} {}".format(time.time() - st_time, epoch, (c-e)/c, c, e))
        with click.progressbar(label="epoch {}/{}".format(epoch, epochs) , length=len(train_loader), show_pos=True) as bar:
            for trial, (input, target) in enumerate(train_loader):
                input = input.requires_grad_()
                o = nn.nn(input)
                // height should be 1 by now
                if o.size(2) != 1:
                    raise KrakenInputException("Expected dimension 3 to be 1, actual {}".format(output.size()))
                o = o.squeeze(2)
                optim.zero_grad()
                loss = nn.criterion(o, target)
                loss.backward()
                optim.step()
                bar.update(1)


@cli.command("extract")
@click.pass_context
@click.option("-u", "--normalization",
              type=click.Choice(["NFD", "NFKD", "NFC", "NFKC"]), default=None,
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 7

Instances


Project Name: mittagessen/kraken
Commit Name: 6e31785235d44054f8b449a1a388a6d524ee70df
Time: 2018-05-21
Author: mittagessen@l.unchti.me
File Name: kraken/ketos.py
Class Name:
Method Name: train


Project Name: mittagessen/kraken
Commit Name: 78f505a6cd78c0072ea1a77afb229f8d6658d17b
Time: 2018-05-23
Author: mittagessen@l.unchti.me
File Name: kraken/ketos.py
Class Name:
Method Name: train


Project Name: mittagessen/kraken
Commit Name: 78f505a6cd78c0072ea1a77afb229f8d6658d17b
Time: 2018-05-23
Author: mittagessen@l.unchti.me
File Name: kraken/ketos.py
Class Name:
Method Name: line_generator