Wooden knitting loom

This multi-tasking loom is my DIY version of the commercial All 'n one knitting board It seemed like an easy wood-work project and looms in general are expensive and fairly hard to come by down my side of the woods. Using the 2 small spacer blocks it is possible to use it as a knitting board, either single knit or double knit and using the pegged spacers it is a variable peg round loom.

I had some left over pallet planks and decided to use that, which in hindsight wasn't really a good idea, the DE-HT Denmark- heat treated pine is soft and all the pulling and tugging tends to loosen the pegs.

Rather use a hard wood for the dowel, bamboo skewers tend to splinter very easily and pine is too soft and easily damaged by the metal loom hook. A drill press can slap you wide awake with a 16inch pine batten if you're sleeping and forgot to clamp the work piece down. The plastic beads had a 4. I used 2 fender washers for the sliding part but suitably worked pieces of hacksaw blade would work just as well. I started by scoring the dowels with a makeshift jig to have a suitable guide for the hacksaw blade.

I used a 30mm peg length with 10mm sunk into the frame, it makes for a good 20mm workable peg length. The groove was cut with a hacksaw blade piece which turned out a bit on the small side, so it was enlarged with a jigsaw blade held in a visegrips.

I see the commercial version has a routed groove in the side rails which might be a less labour intensive route if you have such a power tool. The grooving of the side rails and the pegs was easily where the bulk of the project time was spent. The spacing is a bit on the small side for these size beads and I'll probably increase it to 15mm in the future. This is how I should have done it the first time around, hardwood rails and routed grooves.

Knitting Looms & Loom Boards

I'm using 13mm x 19mm meranti and 5mm oak sliders to fit the 5mm routed groove. Once again I'm doing a 66 peg loom but with 15mm peg spacing this time,this means a longer mm loom instead of the previous mm version.

I used this project as a reason to upgrade my drill press, theres nothing nicer than working with the proper tools for the job. I started out by printing templates to scale to tape to the wood, the cross-hair laser and fence stop made it a quick 5min job. The routed 5mm groove took a bit longer due to the need for 2 passes per rail to stop the bit from burning the wood, 15min and all was done. The pegs were recycled from the pine version 1, nothing was glued on both occasions, once again small spacer blocks can be used to convert this loom into a 60 peg knitting board.

Its tricky using the loom without the loom hook and after a sore palm using the short commercial version I decided to make my own longer one. The shorter plastic version that's included with a commercial loom is a bit on the short side and digs into my palm. I dug out a 5cm length of 2. Next it was sanded smooth with grit wet and dry paper and forced into a length of 10mm dia hard wood dowel.

The dowel received a 2mm pilot hole for the metal hook and a good sanding all round. Reply 4 years ago. Just enough of a head to keep the yarn from slipping off. Introduction: Make an Adjustable Knitting Loom. By petercd Follow. More by the author:. Tools Drill press is a must for the vertical peg holes. Jigsaw if you are using a larger plank and need to cut the frame pieces out. Tape measure a small length of broken hacksaw blade to cut the slots in the frame and pegs.

Optionallya router with a small bit is another less labour intensive way of grooving the side rails The usual cautions apply when using power tools, eye n ear protection.

Participated in the Wood Contest View Contest. Did you make this project?Share on ThriftyFun This page contains the following solutions.

Have something to add? Please share your solution! You can make your own knitting loom and make yourself a beautiful poncho even if you don't know how to knit. It is that easy. Once you get started you will be making all kinds of things. Supplies Needed: wood plank the size you need depends on how wide you want your project to be nails with or without heads hammer ruler pencil yarn crochet hook yarn needle the kind that looks like a large sewing needle Directions: To start you will need to sand the wood you have chosen to make sure that it is smooth.

Any piece of flat wood will work.

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I used a scrap piece that had writing all over it which is why I covered it in paper before I placed the nails in it. Advertisement Once you are finished preparing the wood you can measure out where you want the nails to go. Do not space the nails more than a 1 inch apart. The further apart they are the looser the weave will be. Make a mark on the wood for each nail placement.

This will help you keep the nails in a straight line and make sure that they are not off in spacing. Now that you have the nails in place you are ready to start knitting. I know at first that this seems like it will hard, but really it couldn't be any easier. To make your poncho determine how wide you want it to be.

The length will be twice the width. Basically you will be knitting a large rectangle. Make a simple slip knot in the end of you yarn and place the loop over your starting nail. Take the tail of the yarn and wrap it around each nail so that it creates a loop, this resembles an "e".

Advertisement Once you reach the last nail reverse the motion and go back over each nail until you come to your starting nail. Make sure that the front of each loop from start to finish and finish to start are wrapped the same way. You want the front of the loops to be on the same side of the nail. When you have completed wrapping each nail twice use your crochet hook to pull the bottom loop over the top loop then off the nail. Wrap the yarn around the nails again doing only one pass this time.

You only want two loops on each nail for this project. Once you have your large rectangle the size you want, it is time to bind off. Complete you last row so that only one loop is on each nail. At the end of the row where your skein of yarn is, pull a long tail and cut it. Make sure you leave yourself a tail that is extra long so that you will have enough yarn to bind the last row without running out or pulling it too tight.

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wooden knitting loom

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wooden knitting loom

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wooden knitting loom

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wooden knitting loom

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Make an Adjustable Knitting Loom

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Example: "000005" Depending on the descent algorithm chosen and the topology of the network, certain other parameters may apply. You can also use curl to customize a new deepnet from the command line. For example, to create a new deepnet named "my deepnet" using descent algorithm "adam".

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Once a deepnet has been successfully created it will have the following properties. Creating a deepnet is a process that can take just a few seconds or a few days depending on the size of the dataset used as input and on the workload of BigML's systems. The deepnet goes through a number of states until its fully completed. Through the status field in the deepnet you can determine when deepnet has been fully processed and ready to be used to create predictions.

Once you delete a deepnet, it is permanently deleted. If you try to delete a deepnet a second time, or a deepnet that does not exist, you will receive a "404 not found" response. However, if you try to delete a deepnet that is being used at the moment, then BigML. To list all the deepnets, you can use the deepnet base URL. By default, only the 20 most recent deepnets will be returned. You can get your list of deepnets directly in your browser using your own username and API key with the following links.

You can also paginate, filter, and order your deepnets. When you create a new prediction using a model, BigML. If you create a new prediction using an ensemble using the bagging or random decision forests technique, the same process is repeated for each model in the ensemble.

Then all the predictions from the individual models in the ensemble are combined to return a final prediction using one of the strategies described below. If the ensemble is using the gradient tree boosting technique, the prediction result will be additive meaning each tree modifies the predictions of the previously grown tree.

If you create a new prediction using a logistic regression, its coefficients will be used. You can also list all of your predictions. You can use curl to customize new predictions. It is possible to create a prediction using the filtered decision tree model by specifying filter parameters in the query string of the request parameters.

Two useful parameters are support and value, as described in the Filtering a Model section. Once a prediction has been successfully created it will have the following properties.

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This is the date and time in which the prediction was created with microsecond precision. Each entry includes the column number in original source, the name of the field, the type of the field, and the specific datatype.

Not available for ensembles with boosted trees. Even if this an array the current version of BigML. A string if the task is classification, a number if the task is regression prediction filterable, sortable Object A dictionary keyed with the objective field to get the prediction output for the model, ensemble, or logistic regression. The prediction object includes: confidence: the confidence or expected error for the prediction. In a future version, you will be able to share predictions with other co-workers or, if desired, make them publicly available.

Knitting Looms & Boards

Available for classification tasks only. For logistic regressions, note that it has been called confidence. However, it will be deprecated soon and only this property will be supported in the future.

This is the date and time in which the prediction was updated with microsecond precision. For classification models, confidence is the lower end of a binomial-style confidence interval, where 1 indicates absolute certainty and 0 indicates no better than a random guess.

Technically it is the lower bound of Wilson score confidence interval for a Bernoulli parameter.


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