pkgsrc/math/crfsuite/buildlink3.mk

# $NetBSD: buildlink3.mk,v 1.2 2018/01/07 13:04:22 rillig Exp $

BUILDLINK_TREE+=	crfsuite

.if !defined(CRFSUITE_BUILDLINK3_MK)
CRFSUITE_BUILDLINK3_MK:=

BUILDLINK_API_DEPENDS.crfsuite+=	crfsuite>=0.12
BUILDLINK_PKGSRCDIR.crfsuite?=		../../math/crfsuite
.endif # CRFSUITE_BUILDLINK3_MK

BUILDLINK_TREE+=	-crfsuite
Fix indentation in buildlink3.mk files. The actual fix as been done by "pkglint -F //buildlink3.mk", and was reviewed manually. There are some .include lines that still are indented with zero spaces although the surrounding .if is indented. This is existing practice. 2018-01-07 14:03:53 +01:00			`# $NetBSD: buildlink3.mk,v 1.2 2018/01/07 13:04:22 rillig Exp $`
CRFSuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. The first priority of this software is to train and use CRF models as fast as possible even at the expense of its memory space and code generality. CRFsuite runs 5.4 - 61.8 times faster than C++ implementations for training. CRFsuite supports parameter estimation with L1 regularization (Laplacian prior) using Orthant-Wise Limited-memory Quasi-Newton (OW-LQN) method and L2 regularization (Gaussian prior) using Limited-memory BFGS (L-BFGS) method. 2014-10-30 00:13:21 +01:00
			`BUILDLINK_TREE+= crfsuite`

			`.if !defined(CRFSUITE_BUILDLINK3_MK)`
			`CRFSUITE_BUILDLINK3_MK:=`

			`BUILDLINK_API_DEPENDS.crfsuite+= crfsuite>=0.12`
Fix indentation in buildlink3.mk files. The actual fix as been done by "pkglint -F //buildlink3.mk", and was reviewed manually. There are some .include lines that still are indented with zero spaces although the surrounding .if is indented. This is existing practice. 2018-01-07 14:03:53 +01:00			`BUILDLINK_PKGSRCDIR.crfsuite?= ../../math/crfsuite`
CRFSuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. The first priority of this software is to train and use CRF models as fast as possible even at the expense of its memory space and code generality. CRFsuite runs 5.4 - 61.8 times faster than C++ implementations for training. CRFsuite supports parameter estimation with L1 regularization (Laplacian prior) using Orthant-Wise Limited-memory Quasi-Newton (OW-LQN) method and L2 regularization (Gaussian prior) using Limited-memory BFGS (L-BFGS) method. 2014-10-30 00:13:21 +01:00			`.endif # CRFSUITE_BUILDLINK3_MK`

			`BUILDLINK_TREE+= -crfsuite`